This research aims to investigate the impact of the use of social media on the organizational form and function in selected local governments of Indonesia, Thailand and the Philippines.
This research used quantitative and qualitative methods. The researchers not only conducted comparative– explanatory studies among the three ASEAN cities but also used multiple-informant and secondary data analyses. All variables are operationalized into indicators and transformed into a questionnaire in three languages: English, Indonesian and Thai. Primary data for the research were collected using a cross-sectional survey conducted in Bandung City, Indonesia; Iligan City, the Philippines; and Pukhet City, Thailand.
This research found that social media use has not yet affected the internal organizational processes in the three cities. Also, social media use is not appropriated as a space for citizen–government interaction. It is used for only information dissemination to the public; social media seems to have been used for only collecting information from citizens but not for involving them in the decision-making process.
This research covers only three cities in the ASEAN countries, and the findings cannot be generalized to others. Moreover, this research looks at the supply-side dimension or government organization side only. However, the findings confirm that findings of previous research studies that social media use in the local government is only for information dissemination.
Legal bases for social media use could be an urgent matter to address to advance more fundamental changes in government processes.
There is no prior comparative study on the use of social media by local governments in the ASEAN countries. Social media owing to its sense of personalization or sense of community improves communication between citizens and government better than e-government sites; however, as articulated by Mirchandani et al. (2008), social media may hinder rather than facilitate the delivery of services (Mirchandani et al., 2008). This is due to the absence of a legal basis of its use, as well as agreements on the manner of its use, which prevents full integration of social media into the governance process, particularly in the cases of the cities of Iligan, the Philippines, and Phuket, Thailand.
Roengtam, S., Nurmandi, A., Almarez, D.N. and Kholid, A. (2017), "Does social media transform city government? A case study of three ASEAN cities: Bandung, Indonesia, Iligan, Philippines and Pukhet, Thailand", Transforming Government: People, Process and Policy, Vol. 11 No. 3, pp. 343-376. https://doi.org/10.1108/TG-10-2016-0071
Emerald Publishing Limited
Copyright © 2017, Sataporn Roengtam, Achmad Nurmandi, David N. Almarez and Anwar Kholid
Published by Emerald Publishing Limited. This article is published under the Creative Commons Attribution (CC BY 4.0) licence. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this licence may be seen at http://creativecommons.org/licences/by/4.0/legalcode
The growing use of social media in government and the interaction between citizens and government via the government website encourage change in internal government bureaucracy. Citizen participation in governance through the broad space of social media for public participation ensures accountability. Social media is “a group of Internet-based applications that build on the ideological and technological foundations of Web 2.0, and that allow the creation and exchange of User Generated Content” (Kaplain and Haelein, 2010). “Web 2.0” refers to internet platforms that allow interactive participation by users. “User-generated content” refers to the ways in which people may use social media. The Organization for Economic Cooperation and Development (OECD) specifies three criteria for content to be classified as “user-generated”:
it should be available on a publicly accessible website or on a social networking site that is available to a select group;
it should entail a minimum amount of creative effort; and
it should be “created outside of professional routines and practices” (OECD, Participative Web and User-Created Content: Web 2.0, Wikis, and Social Networking18 (2007) [hereinafter OECD Report] (Kaplain and Haelein, 2010, p. 61).
Figenschou (2015) noted in recent scholarship on media–government negotiation that in the wake of intensified media pressure and critical news stories featuring failed policies, dysfunctional systems and incompetent civil servants (Deacon, 2001; Gordon, 2000; Schillemans, 2012), governments have had little choice but to adapt to and even adopt a media logic. The theory of mediatization emphasizes how the news media influences other political elites and institutions, in defining the constitutive rules of communication (Terwiesch et al., 2002; Altheide, 2004; Mazzoleni and Schulz, 2010; Strömbäck, 2011). Lazer et al. (2009), found that digital government data need to be analyzed and interpreted to understand to what extent they support the government’s mission. There is no prior study on social media use by local governments in the ASEAN countries. Many agencies are however reluctant to measure their online interactions, or are even prevented by their interpretation of existing laws and regulations (Mergel, 2013). Social media, because of its sense of personalization or sense of community, improves communication between citizens and government better than e-government sites; however, as articulated by Mirchandani et al. (2008), social media may hinder rather than facilitate the delivery of services. In South Korea, social media connections have a considerable influence on citizen engagement via Twitter that serves as a source of public information on important topics such as safety and health, but the government’s efforts are less effective in communicating with the citizens and in responding to their needs (Khan et al., 2014).
The application of information and communication technology (ICT) has profound organizational challenges to government agencies, especially in two crucial respects:
restructuring of administrative functions and processes; and
coordination and cooperation between different departments and different levels of government (Aichholzer and Schmutzer, 2000).
However, many e-governments projects, in both developing and developed countries, are not always examples of success stories. Chadwick (2011) found that the failure of “TechCounty”, an online citizen project in the USA, was due to institutional variables such as: the e-government team was free-floating rather than embedded in the county executives’ office and was therefore unable to drive change; departmental rivalry and different decision-making cultures; ambivalence on the part of elected representatives; technologically aware leadership was lacking; and an eagerness to avoid bad publicity. Other researchers call for the concept of transformation in using ICTs, including social media for government (Klievink and Janssen, 2009). They conclude that transformation is a complex problem to which no universal approach exists and for which different types of models can be used (Klievink and Janssen, 2009). Managers want models that help them realize the transformation, whereas policymakers are more interested in models that help them shape the right direction and identify relevant elements (Klievink and Janssen, 2009).
Meanwhile, there are fewer studies on the relationship between technology and organizational form and function. Between 1996 and 2005, only 2.8 per cent of 1,187 researchers published in four leading journals focused on the relationship between technology and organizational form and function (Zammuto et al., 1999). In their research article, Zammuto et al. (1999) concluded that it is very important to study how information in the social and organizational sense is generated because organizing takes place around those understandings and subsequent actions, not only around information acquisition and transmission but also on the study on how affordances emerge and evolve with changing technological and organizational features (Malhotra et al., 2007), and to understand the impact of affordances on boundary conditions. Zammuto et al. (1999) use the term affordance that refers to affordances for organizing that depend not only on the functionality characterizing the information technology but also on the expertise, organizational processes and procedures, controls, boundary-spanning approaches and other social capacities present in the organization.
With the advent of social media and its growing impact on how people do things and how they interact, it is interesting to find if the same has made inroads into local governance. The challenge is to find the pattern and the level of use of social media in local governance and if social media has made it easier for local government functionaries to communicate in terms of information gathering for decision-making, as well as in disseminating information to the public and in receiving feedbacks. This research investigates the impact of using social media on organizational form and function of selected local governments in Indonesia, Thailand and the Philippines. What is the current level of social media use in three cities of ASEAN, namely, Bandung, Indonesia; Pukhet, Thailand; and Iligan, the Philippines? What are the challenges to the internal capabilities of the local government agencies of Indonesia, the Philippines and Thailand in using social media and its contribution to policy-making?
This research proposes that those methods cannot be only applied but there shall be other ones applied also. So, this research attempts to propose that there is other ways to effect a change. Another approach can be used to reinforce other participatory methods quite well. Owing to the benefit of social media, this research will study the impact of social media on structural changes of the local government. This research would like to study, after using social media, whether the structure has changed, how and why.
The searcher expected that will find out some concrete results that can be displayed the significant impact of social media to local government which will be useful for developing strategies to promote citizen engagement to be more successful. In terms of academic contribution, the results will be able to propose basic knowledge on social media use in public administration, especially at the local level. This knowledge can be used to construct concepts and theories in local governance which is a current issue in the study of public administration policies.
In terms of social contribution, the results will be able to propose approaches used by the local government development, especially for effecting structural change. The results will indicate the major issues that the local government needs to impove upon so as to adjust itself to match with administrations of its counterparts in the more complex society today. The results will guide some approaches for change when it has to work with the new environment which will be happened rapidly. So, this research will help the local government learn about how to work together with people in the future.
2. Theoretical review
2.1 Social government and organizational transformation
Oginni (2015) said that the development of social media tools over the past decade has altered modes of communications between governments and citizens. Social media has opened ways for greater political participation, thereby creating new social dynamics. It is an internet-based tool that unifies geographically dispersed individuals on virtual platforms through user-generated content. Leavey (2013) defines social media as a social structure made of nodes, comprising individuals or organizations tied by one or more specific types of interdependencies, such as values, ideas, financial exchange, friendship, kinship, dislike, conflict or trade. In reality, the innovative tool brings together people of common value systems, visions and aspirations to collaboratively form opinions on issues of concerns in virtually connected environments. Pinzón (2013) posits that social media is part of a wider trend in a communication landscape that is characterized by mass collaboration; it is responsible for a significant portion of time expended online. In the context of this study, social media refers to online tools that permit real-time interaction and feedback (for instance, Web 2.0); it is a broad term that extends beyond Facebook, Twitter and LinkedIn to include e-government.
Social media can also be seen as a productive tool that relives social struggle and policy-making. The concept of public policy was developed in response to heightened social struggle and duties of governments to ensure citizens’ welfare (Nyong’o, 1998). Public policy is concerned with how societal issues are defined, constructed and approached on a political level, and it is used to examine the effects of a government’s actions or inactions. Although the inclusion of inaction may seem counter-intuitive, public policy encompasses all aspects of a government’s decision-making process (Mergel, 2013; Simon et al., 2015). Social media can transform government organization into a social government (s-government). This transformation results from the capability of social media to enable organizational change, which requires the management of projects or programs to develop or integrate systems, leadership and change in culture or organizational factor (Klievink and Janssen, 2009; Kavanaugh et al., 2012, Johannessen et al., 2016). However, based on some previous studies, social media use could influence position or membership of a government employee (legal issue), an organization, a culture, a communication and then the decision-making process (Linder and Nicole, 2012;Kavanaugh et al., 2012; Khan et al., 2014) (Table I).
2.2 Organizational factor
A government organization is a unit of the social system that is strongly affected by it. In a social system, organizations conduct experiments that concur with our everyday experience with them (Achterbergh and Vrients, 2009). According to Luhmann, an organization belongs to the class of an autopoietic system as a result of decisions and function, as a decision premises for follow-up decisions (Achterbergh and Vrients, 2009). Furthermore, Luhmann argued that viewing organizations as merely consist merely of goals and/or means to realize them is to mistake results of organizing for organizing itself (Achterbergh and Vrients, 2009). The theory of autopoiesis was developed by two Chilean cognitive biologists Humberto Maturana and Francisco Varela in the 1960s and early 1970s. Abstracting from life, autopoiesis is defined as a general form of system-building using self-referential closure. We would have to admit that there are non-living autopoietic systems, different modes of autopoietic reproduction and general principles of autopoietic organization which materialize as life, and also in other modes of circularity and self-reproduction. In other words, if we find non-living autopoietic systems in our world, only then will we need a truly general theory of autopoiesis which carefully avoids references that hold true for only living systems (Luhmann, 1986, p. 172). The basic building block of social systems is communication. Communication consists of information, utterance and understanding, and it allows for a system’s self-constitution. Luhmann defines social systems as being principally boundary-maintaining systems (Hernes and Bakken, 2003). Luhmann conceives of communication as a combination of three components: information, utterance and understanding, each of which Luhmann conceptualised as selection.
Information is a selection from a repertoire of possibilities. Every communication selects what is being communicated from everything that could have been communicated. Utterance refers to the form of and reason for a communication (Luhmann, 2003) or how and why something is being said. It is the selection of a particular form and reason from all possible forms and reasons. Understanding is the distinction between information and utterance (Seidl, 2004; Karantzeni and Gouscos, 2013).
Communications that communicate a selection as a selection include elements of organizations (Achterbergh and Vrients, 2009). Communication has an inner structure as a selection of a set of selectable options, and it can be recognized as a decision and as being connected to prior decisions and thereby contribute to the self-production of the organization (Luhmann, 2000). An organization needs a structure to support the production of elements by elements, namely, decision premises. Decision premises involves three aspects: normative points of reference, providing a focus for the production of follow-up decisions; decision premises, contributing to the regulation of the production of decisions by marking decisions from them; and a new decision takes into account existing decision premises as presuppositions (Achterbergh and Vrients, 2009).
How do decision premises work in an organization? There are nine types of decision premises, namely,: membership, communication pathway, decision programs, personnel, positions, planning, self-description, organizational culture and cognitive routine (Achterbergh and Vrients, 2009). In an organization, only members can contribute to the generation of decisions. However, using social media, citizens influence direction and outcomes of the government, improve the government’s situational awareness and may even help execute government services on a day-to-day basis (Linder and Nicole, 2012). In other words, citizens are members of government organization who can contribute to the generation of government decision on a day-to-day basis. Governments’ transition from Web 1.0 to Web 2.0 will require fundamental organizational and administrative changes, as many of the emerging social-collaborative technologies sit uncomfortably with public sector hierarchies and decision-making processes (McNutt, 2014), and social networking government (Panagiotopoulos et al., 2011). The social-collaborative technology is a valuable tool for identifying the main issues perceived by citizens with respect to a particular social problem or domain of government activity and for collecting from the citizens interesting ideas on possible solutions and directions of government activity (i.e. for applying crowdsourcing ideas in the public sector) (Spiliotopoulou et al., 2014).
2.4 Organizational culture and cognitive routine
Like other organization scholars, Luhmann (2006) argues that organization has undecided decision premises, namely, organizational culture and cognitive routine. Organizational culture has basic values woven into the fabric of the organization, as well as undecided rules for decent behavior or for the attribution of blame or praise, which are also examples of cultural decision premises (Achterbergh and Vrients, 2009). Cognitive routines are a by-product of ongoing practices in the organization’s relation to its social and non-social environments. One character of the government is a joined-up or integrated government service delivery; governments have to deal with the problem of fragmentation within the constitutional, legal and jurisdictional limits (Scholl et al., 2012). Today, the most significant barriers to social media adoption are organizational, cultural and legal – not technological (McNutt, 2014). Government organizations should be willing to investigate whether more playful interactions with citizens can help to engage on serious issues (Meijer et al., 2012). The application of social media methods will not lead automatically to better and more socially rooted and responsive public policies, if it is not combined with a change of culture of public servants and politicians (Spiliotopoulou et al., 2014).
2.5 Communication and organizational structure
The second type of decision premise is a communication pathway, prescribing the “route” that should be followed in operations, to be counted as decision in an organization (Achterbergh and Vrients, 2009). Luhmann (2000) argued that the communication pathway does not necesarily involve “hierarchy, but also a lateral communication one”. Luhmann’s (2005) fundamental idea was that organizations decide by themselves what is considered as a decision. This applies to decision communication as well. Personnel and position in public administration are organizational structuring variables (Weerakkody, 2009). Luhmann argues that competencies and experiences are very important for decision premises. Luhmann (2005) also states that the nature of decision communication changes when the time to make a decision occurs. If decision communication is seen as communication, which leads to a decision, then the post-decisional information of decision communication differs from pre-decisional communication. Communication mediated by ICT (or social media) provides a virtual platform for an informal and open sharing of thoughts, expectations, assumptions and values which offers an opportunity to form alliances of collective responsibility, which may be different from the formal hierarchies of management relationships within the parent organization (Mezgar, 2006). Another research recommended that government organization should implement its networking strategy by mobilizing Twitter accounts of various government institutions and promoting their cooperation instead of following Twitter accounts of citizens or networking with them (Khan et al., 2014). In other words, Klievink and Janssen (2009) proposed the integration of ICT into government organization. Integration in government can be defined as the “forming of a larger unit of government entities, temporary or permanent, for the purpose of merging processes and/or sharing information” (Scholl et al., 2012). Hence, integration extends to both process integration and information integration (sharing) (Klischewski, 2004) and pertains to the institutional dimension and in part to the high-level functional dimension (Kubicek et al., 2009; Tsohou et al., 2014).
In other words, as opposed to interoperation or interoperability, which alludes to the technical and lower-level functional aspects, integration refers to the non-technical and governance aspects of intra- and inter-government collaboration. Further, following Scholl and Klischewski’s set of definitions, interoperation “occurs whenever independent or heterogeneous information systems or their components controlled by different jurisdictions/administrations or by external partners smoothly and effectively work together in a predefined and agreed upon fashion” (Scholl et al., 2012), whereas interoperability “is the technical capability for e-Government interoperation” (Scholl et al., 2012). In a functional perspective, IT-based interoperation encompasses layers such as technical (signal-level) interoperation, syntactic (data-level) interoperation, semantic (information/meaning-level) interoperation and finally business process interoperation (Kubicek et al., 2009). Others propose to distinguish further between technology (computer), business process, information, values and goals when analyzing government integration and interoperation projects (Gottschalk, 2009).
2.6 Personnel and position
Personnel and position in public administration are organizational structuring variables (Weerakkody, 2009). Luhmann (2005) argues that competencies and experience are very important for decision premises, and he also states that the nature of decision communication changes when the time to make a decision occurs. If decision communication is seen as communication, which leads to a decision, then the post-decisional information of decision communication differs from pre-decisional communication. Communication mediated by ICT (or social media) provides a virtual platform for an informal and open sharing of thoughts, expectations, assumptions and values which offers an opportunity to form alliances of collective responsibility which may be different from the formal hierarchies of management relationships within the parent organization (Mezgar, 2006). Information factors consist of communications and information technology (Kavanaugh et al., 2012). Those aspects are important variables regarding the relationship between government organization and citizen used to study Arlington County. The influence of ICT use on organization transformation process in The Netherlands confirms the aforementioned findings (Klievink and Janssen, 2009). However, bureaucratic behaviors are also undeniably linked to the culture and structure of the organization within which they work, and the managers from whom they receive direction (Fulla and Welch, 2002). Moreover, the relationship between citizen and bureaucrat continues to be based on public service. As a result, any model of interaction between citizen and government must explicitly include the broader social contexts from which they originate. Fulla and Welch (2002) furthermore expect that the organization can choose among five options for response to an asynchronous query: non-response, generic response, direct informational response, referred informational response and referred action.
Meanwhile, the response level is dependent on the performance of the virtual team in a certain organization, and the link between the virtual team members is more social and psychological in nature (Mezgar, 2006). The virtual teams function on trust rather than control (Handy in Mezgar, 2006) which requires lateral communication and active involvement from each individual under a flat organizational structure, participatory management practices and novel schemes of shared responsibility (Mezgar, 2006). The Luhmannian perspective developed here helps us to address the relatively neglected questions of how the operating and strategy routines of an organization are related to each other, and how both are related to the generation of strategic change (Hendry and Seidl, 2003). Social systems for Luhmann are not, therefore, systems of action, structured in terms of the thoughts and behaviours of individual actors, but these are systems of communications in which communication determines what further communication occurs. Luhmann introduces his concept of episode in the context of societal change, and it does not feature explicitly in his accounts of organizations.
From a social systems perspective, the routine suspension of normal operating structures is essential for the long-term survival of an organization and an integral part of its structure. The second insight is that strategic episodes are important for not only changing strategies but also confirming and reinforcing them. The third insight, which again challenges the exceptionalist view, is that for the line management of an organization, strategic episodes are the routine focus of strategic practice. The fourth insight concerns the relationship between organizational strategy and the practices of “strategists”. Government organizational culture in the emerging “digital era governance” (DEG) and “transformational government” (t-gov) paradigms is such that “citizens and businesses will increasingly co-produce most individual outputs using electronic processes, leaving agencies to provide only a facilitating framework” (Dunleavy et al., 2005) and “citizen empowerment” (CS Transform, 2010; Waller and Genius, 2015).
2.7 Public policy-making
Luhmann (2005) emphasizes that decision communications are not produced by human beings but by the social system, or by the organization. Luhmann sees decisions as the elements of an organization and “compact communications”, which communicate their own contingency. Luhmann (2005) also theorizes that decision communication is the only form of communication that contributes to the autopoiesis of an organization. Decision programs are regulative conditions for correct or incorrect decision behavior, namely, goal program and conditional program (Achterbergh and Vrients, 2009). Goal programs specify goals (desired) that should be pursued, depending on the circumtances or expected side effect, and conditional programs have a general form that allows for different levels of specification (Achterbergh and Vrients, 2009).
When government managers face the growing demand from netizens via social media, they are not producing sequential decisions, or one decision after the other, but they can produce multiple coherent decisions at the same moment in time and at different moments in time (Achterbergh and Vrients, 2009). Luhmann defines those decisions as planning. However, organizations have other means of integrating decision premises, namely, self-description. Self-description function is a means to unify the multitude of decision premises (Achterbergh and Vrients, 2009). IT was primarily used to automate existing operations and to increase the speed of communication. Automation within organizational functions meant that routine information collection and storage tasks were taken over by IT, replacing paper and people with electrons, without fundamentally changing the way work was done as “automated plumbing” (Zammuto et al., 1999). This means organizations are not “sequential mechanisms” producing one decision after the other, but at the same time organizations must coordinate “event-like” (via social media) character of decision, called planning (Luhmann, 2006; Achterbergh and Vrients, 2009). Organizations have to decide what to observe in the environment, how to observe it and which conclusions to draw from their observations (Kieser and Leiner, 2009). Decisions are the basic elements of organizations. When making decisions, managers refer to earlier decisions, including decisions on how to observe and interpret the environment, and thus establish self-referentiality (Seidl, 2004).
In each stage of policy processes, technology has an important role to play in the digital age. The policy process requires quality inputs, decision-making and feedback mechanisms to be successful. One important quality of enhanced policy is wide participation in the policy process. Social media thereby presents an opportunity to incorporate a multitude of opinions or alternatives during policy processes. Citizen engagement is crucial in directing policy to the most pertinent issues within the receiving locality (Imurana et al., 2014).
A recent study on online activity in social media for public policy, social and political issues of some selected countries reveals that developing countries seem to have the highest proportion of engagement in online public policy and social and political issues (Ipsos-Markinor, 2012; Sáez-Martín et al., 2014). The argument was based on the assertion that the democratic history and experience of a country plays a role in the magnitude of online engagements and extent of social media use as “business models” for the development of an e-government (Beynon-Davies, 2007). That is, a grown-up democratic country tends to have a more organized system of channels for citizens to air their views than emerging economies. At each stage of the public policy process, factors such as social distance between policymakers and the general public, information asymmetry, politicization of policy implementation and weakened feedback mechanisms have been identified as challenges to public policy processes in Africa (Imurana et al., 2014). However, in terms of citizen influence, social media did not provide a well-functioning public sphere in policymaking or just one of many channels where low-power stakeholders attempted to reach out (Johannessen et al., 2016).
3. Research method
ASEAN, while diverse, can be clustered into three groups by internet penetration rates: Cluster 1 (above 60 per cent): Singapore, Brunei and Malaysia; Cluster 2 (25-50 per cent): Indonesia, Thailand, the Philippines and Vietnam; and Cluster 3 (1-20 per cent): Cambodia, Lao PDR and Myanmar (Internet Society, 2016). We intended to study only the middle status or Cluster 2 (based on internet penetration) owing to the lack of research in these countries, namely, Indonesia, Thailand and the Phillipines. Then after selecting Indonesia, Thailand and the Phillipines, we purposively selected three cities in ASEAN countries, namely, Bandung, Indonesia; Iligan, the Philippines; and Pukhet, Thailand, based on the current status of social media use in their respective city governments both by citizen and government. Bandung whose population is 2.3 million (42 per cent citizen using social media) is considered as a best case study city because it has quickly adopted social networking sites and the use of Twitter (Nurmandi, 2015). In Iligan City, the Philippines, whose population is 3,42,618 (50.32 per cent using social media), this is done through the city’s Facebook account – @LGUIliganCity (www.gov.ph/laginghanda/socmeddirectory/). Facebook, in particular, affords users a high degree of social presence, making it the best tool for creating and nurturing small online communities managed by Local Government Units. They provide strong support for social interaction, social integration and strengthening of bayanihan (heroism) spirit (Congjuico, 2014). Today, it is known to be the second among the cities of the Philippines in internet-based employment, particularly in Information Technology-enabled Services (ITeS). This is brought about by its proportionally huge computer-educated population. Of the ten post-secondary schools in Iligan, seven offer degree courses in computer and three offer short-term courses in computer. Phuket, whose population is 3,86,605 (45.53 per cent using social media), is a prominent local government of 172 public agencies representing the central, provincial and local administration levels that used social media applications (Gunawong, 2015).
This research used a combination of quantitative and qualitative research methods. The researchers used not only comparative–explanatory studies among the three cities in the ASEAN but also multiple-informant and secondary data analyses. All variables are operationalized into some indicators (Appendix) and transformed into a questionnaire in three languages: English, Indonesian and Thai. Primary data for the research were collected using a cross-sectional survey conducted in Bandung city, Indonesia; Iligan City, the Philippines; and Pukhet City, Thailand. Before the commencement of the survey, focus group discussion meetings were conducted in each city by inviting ten public employees and by conducting a pre-testing of the measuring instrument. In both exercises, the social media practitioners were involved to enable the assessment to have face validity. Such pre-field deployment research tasks allowed for the study’s questionnaire to be improved by either rewording or deleting the items found to be ambiguous during the pilot phase. The pilot study, which involved public servants, facilitated the improvement of the research instruments and the determination of the reliability of the scale items. For content validity purposes, an extensive review of the literature was undertaken to gain an understanding of each construct and its items and to ensure that no important dimensions were neglected. Ten practitioners and ten academics/researchers of each city participated in this process. Each item in the questionnaire was reviewed for its content, scope and purpose. Their feedback resulted in several modifications to the items. Two rounds of pre-testing were carried out to ensure that the instrument was well designed and contained items that would really measure the constructs. The researchers proposed a research model showing the relationship among variables to be tested using structural equation model (SEM) (Table II).
Before the survey questionnaire was sent out, each respondent was contacted and asked to participate in the study. The questionnaire was designed in a way that respondents were asked to describe their degree of agreement with each statement on a five-point Likert scale (ranging from strongly disagree “1” to strongly agree “5”).
Table III presents the results regarding the public officials’ perception on social media. The results in the three cities indicate that information and social media network are very important. Bandung and Pukhet’s public officials recognized that information from social media is a more important information source than Iligan’s public officials did. However, in terms of technical expertise or competency and reward in handling social media information, all respondents of the three cities have more and less similar responses. Social media governance needs technical competence in handling antivirus and antimalware. Further, controls must be installed on all systems and updated daily. In addition, content filtering technology should be used to either restrict or limit access to social media sites, and appropriate controls should also be installed on mobile devices such as smartphones (Linke and Zerfass, 2013). For the Bandung City Government, the information and communication agency is the main agency handling antivirus and filtering technology to restrict and limit access to social media sites. Meanwhile, Pukhet has an Information and Communication Technology Center(ICTC) which asks for specific software programs or topics that people would like to learn and then it compiles the requested topics and sends the information to in- and out-sourced academics with related expertise. The academics with expertise in related fields will then be invited to teach these topics in groups. An example of such a training project is a knowledge network group of retired or senior citizens using social media. Presently, many people are using Line for communicating.
In Iligan City, the Philippines, the ICTC is a section under the Office of the Mayor which takes care of the communication system of the local government of Iligan, including its website. The center is maintained by IT experts who are responsible for managing information that are vital in decision-making. There is no local legislation in the city that regulates the use of social media but restraints on ethical considerations are observed by users, as they are covered by applicable laws on libel and cyber-bullying. These considerations are important, as the use of social media in Iligan is pervasive even among those in grade school. Social media is used in the dissemination of school assignments and announcements (Table IV).
Does social media change communication patterns among units in internal municipal organization? Many prior studies confirmed that social media has changed the understanding of how government agencies can translate existing practices into a new online environment (Abrahamson and Rosenkopf, 1997; Rogers, 1976; Rogers and Shoemaker, 1971; Mergel, 2013). Even if central governments are catering to different audiences regarding the applicability of practices, they, therefore, transcend audiences and agency-specific content. Information via social media must be based on events like cases reported by netizens without normal patterns and planned reporting. Faced with these situations, city agencies need to col all information in a systematic way to make quick decisions.
Table V presents the results regarding public officials’ perception of real-time coordination when responding to queries on social media information. The Bandung and Iligan public officials, rather than Phuket pubic officials, recognized that information from social media is more an important information source. The public officials of the two cities confirm that they work in a team with other officers from other organizations/agencies in handling social media information. In summary, the internal organizational performance of the cities in handling social media is revealed at Figure 1.
Figure 1 summarizes the organizational conditions in three cities revealing that Bandung City has better internal organizational performance than the other two cities. Membership in Bandung City is mandated by making individual Twitter accounts of each city department. The legal and policy frameworks (membership) are very important for using Web. 2.0 in local government. However, in the three cities, only Bandung has a legal basis for social media use which was provided in a mayoral decree. All cities have no standard operating procedure in handling social media information. The importance of social media as source of information is recognized more by public officials of Bandung and Pukhet than by the public officials of Iligan. However, there in terms of technical competency and reward in handling social media information. Meanwhile, of structure and position, there are different practices in the three cities. In Bandung city, the Information and Communication Agency is the main agency in handling antivirus and filtering technology to restrict and limit access to social media sites. Meanwhile, Pukhet has a city ICT center which asks for specific software programs or topics that people would like to learn, compiles the requested topics, and then sends the information to in- and out-sourced academics with related expertise not to related agency. The academics with expertise in related fields will then be invited to teach the people in groups. An example of such a training project is a knowledge network group of retired or senior citizens using social media. Sometimes, the connections between groups or municipality government units have become difficult because the groups and units have time departmental rivalry and different decision-making cultures. In comparison with the other two cities, the Pukhet municipal government has not restructured its administrative functions and processes in terms of coordination and cooperation between different departments and different levels of government.
Figure 2 and Table VII present descriptive statistics and the bivariate correlations of this study’s measures, respectively. Most of the relationships were not significant and were negative in the Pukhet City setting. In Bandung City, Indonesia, formal social media use (membership) variables were quite strongly and positively related to organizational personnel, position and structure. Meanwhile, in Iligan City, the Phillipines, only the formal social media use (membership) variable (0.225) was positively associated with position and structure. It is interesting to note that in Bandung and Iligan Cities, organizational culture was positively associated with public policy-making process. However, the proposed research model below is rejected empirically. This means that social media use (membership) has no effect on internal organization processes in the three cities (Tables VI and VII) (Figure 3).
4.1 Bandung case
Since Ridwan Kamil became Bandung’s Mayor in 2013, he has been using social media, specifically Twitter, as a communication channel between government and citizens. Mayor Decree No. 1352/2014 laid down policies on communication between city government and citizen, namely:
mandatory social media use in all city government agencies;
mandatory use of LAPOR 1708 (REPORT 1708);
photo-based report; and
e-report of subdistrict program.
The important reason for using social media (Twitter) is to shorten the communication path and to cut the bureaucratic red tape in the reporting system. The Bandung City Government has established 23 Twitter accounts of city agencies which are monitored by a local application portal called “Suara Bandung” (Bandung Voice). This portal assesses the performance of each account by counting response rates and sentiments (Figure 4).
It is interesting to find out that policymakers in Bandung City think that Web 2.0 technologies are appropriate as a space where citizens can interact with the city government in terms of information dissemination, dialogue, managing inputs from community and in prioritizing city programs.
4.2 Pukhet City, Thailand
In the case of Pukhet City, some respondents confirm that using social media in organizations is a good thing, but its effectiveness depends on which Line groups are posted and the group’s membership. It is important that a powerful person be in that group Line, otherwise it would be the same typical complaining process that takes a long time. Moreover, the community or people must be strong and engaging. The data/information in Line are/is cannot be trusted always. Some are true, others are not. It depends on which side or group posted the information. Some people are chosen to highlight issues through city council members because they have close relationships with them. They believe that this may make the process faster than through Line, or this may get better solutions. Complaining via Line may not reach the mayor, as he may read messages in Line only once or few times per day. If only the staff read the Line messages, they may or may not report those messages within that day. It is unclear which problem is priority and no one can decide. Using social media in municipalities is not like using a communication tool. Rather, it seems to be a decision-making tool. It helps in making decisions faster. If a problem complaint comes into picture, it can be printed out as empirical evidence and ready to be sent out for further actions. It is obvious that Line is better than other regular ways, as it will not waste time, such as time for filling a form.
Mostly, social media is only a channel for organizational PR, not for receiving complaints from the people. “Complaining via Line cannot reach the Mayor. It may take many days until he reads and it will take longer until he decides to give an order”. However, social media can create the power of community. When an important issue is posted, other members go to the Line group to share their opinions. For example, in case of a tunnel excavation, most of the group members disagreed; thus, once the issue was posted, they posted messages to resist that project. They have harmony. The power of community comes from the power of social media. Although social media cannot be a panacea to cure all problems, it is a good tool for groups to voice their issues to city council members or the mayor. If a group has a powerful member, the group will benefit.
Social media may be a new thing in the context of Thailand which could lead to wrong usage. Sometimes, someone shares what was posted without careful thoughts. However, we can start seeing the development of social media use. Previously, we have wasted time for long meetings and travelling, but nowadays, we can have a meeting through Line. Complaining in the old fashion requires physically going to the organizations and meeting in person. We need to learn more on using social media continuously. For responding to complaints from communities, it depends on whether the issue makes a large impact on a community and how much the impact will be. If the issue has an impact on an individual only and not the public, or to a small area only, the response may be late.The effectiveness of using social media also depends on how clear the organization’s goals and policies are in relation to Line usage. A policy about receiving complaint procedure via Line should be clearly stated: for example, to whom should a complaint issue printout be sent to? Who should approve? That should be really clear-cut. Yet, presently, we do not know the procedure in Line for complaining. If the organizations have knowledge of the step-by-step complaint procedure in Line, the people or communities would benefit and they will have trust. It is possible that the people now lack trust on the social media tool of the city as the process is unknown, and using the social media is still in the developing/testing stage. The city also is on a trial-and-error phase regarding social media use. Some of the reasons why people choose to make a complaint through city council members is that the people may not believe in Line, and that city council members play an important role in assigning jobs, and they always try to take action on jobs to keep people’s votes. One respondent said that social media in organizations is used only for the city PR to spread information to the community.
4.3 Iligan City, Philippines
For public information, Iligan City maintains a website where vital information regarding the city and updates of its operations are posted for public consumption. The city also has a Facebook account where public opinions, complaints and emergency notes can be posted. Public engagements are facilitated through the social media and through the broadcast media. Announcers of many radio stations of the city are connected to the public through Facebook and they are supplied with daily information from the public which enriches the database for their daily announcements and commentaries. The pervasive use of Facebook among Iliganons, which was made possible by the introduction of the mobile phone with its capability to manage both written and graphical data, made social media a very important means of communication in the city.
In Iligan City, Phillipines, the ICTC is a section under the Office of the Mayor which takes care of the communication system of the local government, including its website. The center is maintained by IT experts who are responsible in managing information that are vital in decision-making. However, also Facebook’s collected information does not have much impact on decision-making process because each department has its own mechanism.
This research found that social media use has not yet affected internal organizational process in the three cities. Also, social media use is not appropriated as a space for citizen-government interaction. It is used only for information dissemination for the public and in gathering feedbacks and opinions from the citizens. This shows that social media is used more for collecting information from citizens, but not for involving them in the decision-making process. This finding confirms McNutt’s (2014) research findings that health departments in the USA which are slow to adopt or non-adopters of social media may be facing organizational barriers common to governmental public health organizations. From the resource dependency view of power, e.g., knowledge, information, money and social capital (Conrad, 1983; Pfeffer and Davis-Blake, 1987; Scott, 2004), each organization has a unique power structure that could greatly influence how internal communication is happening. If such organization places strong power in the top leader, all internal informations are concentrated on him/her (Rana et al., 2013; Nurmandi and Kim, 2015). On the other hand, in the context of social media, the potential source of power for individuals in organizations may become less dependent on others in an organization, through the ease of associations made through social media use (Treem and Leonardi, 2012). In the case of Iligan and Phuket, the local government lags in laying down the legal basis for the use of social media in policy-making. This could be because of technological barrier or the inability to control the use of social media which spawns the fear that power will shift to the citizens to the disadvantage of the political elites in the local government.
Governments’ organizational culture is risk averse, and without a basic set of best practices on managing risk, support for social media use may be undermined by existing administrative cultures implying some loss of control. And this finding also is in accord with the research finding of Sobaci and Karkin (2013) about the Twitter use and activity of a mayor in Turkey. They found that only 12.4 per cent of the mayor’s Twitter activities are aimed at collecting opinions, suggestions and complaints of citizens, while the rest is used for personnel matters. Cultural barriers to open government through social media-based public engagement need to be addressed. Senior management should recognize, celebrate and advertise success stories of public engagement to facilitate cultural change toward openness and transparency (Lee and Kwak, 2012; Ho¨chtl et al., 2011). While social media may enhance transparency, it will take time before it will be fully integrated into the organizational culture of local government units. Its impact into the way communication and decision-making are done is revolutionary which in effect threatens the old order of doing things, thus eliciting a sort of negative reaction from the generation of the so called “digital immigrants” or people who were initiated late in the use of computers. We found a lot of social media services which were used in the second step to retrieve governmental accounts which have no link from their city government website (Mainka et al., 2015). This findings also confirm Mergel’s (2013) previous study on social media use in US central government which stated that social media serves a levelling function especially during the early experimentation phase when all social media practitioners operated in a gray area not knowing if their practices are consistent with the existing rules and regulations.
Most of the relationships were negative and not significant in the setting of the three cities
These findings confirm previous research findings that social media use in local government is only for information dissemination.
In Bandung City, Indonesia, formal social media use (membership) variables were quite strongly positively related to organizational personnel, position and structure.
Meanwhile, in Iligan City, Phillipines, only the formal social media use (membership) variable was positively associated with position and structure.
It is interesting to note that in Bandung and Iligan, organizational culture was positively associated with public policy-making process. However, the proposed research model is rejected based on the empirical data.
This means that social media use (membership) has no effect on internal organization processes in the three cities.
7. Limitations and implications
However, there are some limits and obstacles to social media use. First, social media is used only for the city’s public relations to spread information to the community. Second, social media might not be trusted because of the fear that complaints may not be responded to due to identify priorities and consequently the failure to decide, compared to directly complaining to the mayor or to any city council member, in which concrete responses can be given to answer their complaints or demands.
This research covers only three cities in the ASEAN countries and the findings cannot be generalized to other cities. Second, this research looks only at the supply-side dimension or government organization side. However, the findings of this study confirm the previous research that social media use in local government is only for information dissemination and for receiving feedbacks or inputs from the citizens. In practical implication, social media use needs the change of organizational culture. Ontherwise, if the hierarchy decision-making process remains in local government, social media use becomes a tool for the passive internal administration of the city rather than a tool for an active one. However, online culture model via social media is needed within government organization for changes in leadership, policy and governance. The use of social media could improve more egalitarian organizational culture and faster decision-making process in government organization. The social media use needs the new way of organizational structuring in terms of virtual team rather than bureaucratic form of organizational structure.
Literature review on the relationship between social media use and organization transformation in government
|Studies||Research focus and locations||Purposes of using social media||Influencing factors on organization transformation|
|Policy and legal||Organizations||Individuals||Management|
|Johannessen et al. (2016)||Social media influence on decision-making (Denmark)||who participates in social media and why||Social media is just informal channel||Structure||Government employee just use social media as a sharing information||Information channel|
|Simon et al. (2015)||Facebook and Twitter in emergency (metaanalysis)||Emergency||Self regulation||Budget and training||Technologial adoption||Emergency management|
|Mergel (2013)||Out update Legal and standard||New organizational structures||Interactive communication||New style and culture|
|Graham and Avery (2013)||Facebook and Twitter use (United States)||public relations functions||No legal standing||less obvious is the engagement of social media to promote citizen dialogue and government transparency||Capacity to handle||time, financial, and human resources are so over-stretched|
|Khan et al. (2014)||Twitter (South Korea)||Networking among gov institutions||No legal standing||Limited collaboration among government institutions||culture||No standard|
|Khan et al. (2014)||Microblogging (China)||Leadership, human resources, budget||Government: closed and centralized||Government capabilities: weaknesses||Lack of designated staff||Lack of competent management institutions|
|Linder and Nicole (2012)||(United States) Planning, delivery and monitoring||Leadership, Human resources, budget||Government: closed and centralized||Government capabilities: weaknesses||Lack of designated staff||Lack of competent management institutions|
|Chadwick (2011) (United States)||Budget and organizational instability, policy shift, Legal concerns (United States)||Leadership, Human Resources, Budget||Government: closed and centralized||Government capabilities: weaknesses||Lack of designated staff||Lack of competent management institutions|
|Kavanaugh et al. (2012)||Facebook and Twitter, YouTube, Flickr (United States)||Understanding social media use in crisis situation||Data maintenance
Owing vs using someone else
|Human resources training||Communications policy|
Public employee engaged in social media use
Source: Human Resources data of each city
|1||Public officials in my organization are very important sources of information||4.25||4.25||3.83||0.63||0.63||0.89|
|2||Information and social media network are very important||4.45||4.45||3.73||0.50||0.50||0.99|
|3||Our public officials have high level competency in handling social media||3.80||3.80||3.13||0.79||0.79||0.94|
|4||My organization has high level technical expertise||3.73||3.73||3.23||0.55||0.55||0.97|
|5||My organization has technical team consisting of senior officers||3.58||3.58||3.47||0.55||0.55||1.01|
|6||My organization explicitly give rewards to officials who become quality information source in social media||3.90||3.90||2.89||0.55||0.55||0.93|
|7||My organization often provide technical workshop in using social media||3.28||3.28||2.81||0.79||0.79||1.05|
Source: Primary data
Structure and position
|1||Social media gives efficient and effective information distribution in my organization||4.36||3.70||3.68||0.58||0.79||0.973|
|2||All members of my organization are aware of the purpose of using social media||3.85||3.53||3.36||0.74||0.68||0.723|
|3||My organization often conducts meetings to follow up information obtained from social media||3.82||3.98||3.26||0.88||0.36||0.931|
|4||Communication among units in my organization become easier with social media||4.16||4.20||3.38||0.86||0.41||0.953|
|5||Communication and coordination among organizations become easier with social media||4.26||2.70||3.34||0.68||0.85||0.838|
|6||I communicate with my supervisors via social media||4.03||2.70||3.18||0.81||0.65||846|
|7||Hierarchy is not important anymore in communication using social media||3.19||1.63||3.30||1.00||0.67||0.878|
|8||Our organization has mechanism and system that can support each other in giving information||4.00||3.15||3.30||0.69||0.58||0.878|
Source: Primary data
Communication and information
|1||In my organization, we have officers who work in a team with other officers from other organizations/agencies||3.73||2.80||3.77||0.88||0.72||0.843|
|2||We have real-time coordination within our organization||4.05||3.00||3.49||0.45||0.82||0.742|
|3||in my organization, we have one unit that integrate various information from social media||3.73||2.80||3.38||0.72||0.41||0.751|
|4||Coordination of organizations/agencies to solve issues obtained from social media is an easy job||3.47||3.00||3.31||0.86||0.55||0.965|
|5||We often organize meeting events among organizations/agencies to share information||3.74||2.43||3.45||0.79||0.55||1.034|
|6||Good quality information in social media is based on accuracy and fact from the field||3.95||2.55||3.39||0.70||0.50||1.103|
Source: Primary data
|Variables||City||X1 (membership)||X2 (personnel)||X3 (structure and position)||X4 (com and information)||X5 (org culture)||Y (policy making)|
|X3 (Structure and position)||Bandung||0.250||0.31||1|
|X4 (Com and Information)||Bandung||0.126||0.190||0.182||1|
|X5 (Organizational culture)||Bandung||0.104||0.496||0.275||0.13||1|
*p < 0.05, 5%
Hypotheses result testing
|H1. The formal social media use (membership) in local government is associated with organizational communication and information||REJECTED||REJECTED||REJECTED|
|H2. The formal social media use (membership) in local government is associated with organizational culture||REJECTED||REJECTED||REJECTED|
|H3. The formal social media us (membership) e in local government is associated with organizational personel||ACCEPTED||REJECTED||REJECTED|
|H4. The formal social media use (membership) in local government is associated with position and structure||ACCEPTED||REJECTED||ACCEPTED|
|H5. The formal social media use (membership) in local government is associated with organizational culture||REJECTED||REJECTED||REJECTED|
|H6. The formal social media use (membership) is associated with public policy-making process||REJECTED||REJECTED||REJECTED|
|H7. The communication and information is associated with public policy-making process||REJECTED||REJECTED||ACCEPTED|
|H8. The organizational culture is associated with public policy making process||ACCEPTED||REJECTED||ACCEPTED|
|H9. The personnel is associated with public policy-making process||REJECTED||REJECTED||ACCEPTED|
|H10. The structure and position is associated with public policy making process||REJECTED||REJECTED||ACCEPTED|
|Issue||Questions to be raised and answered|
|Objectives and expectations||What is the core mission of my institution?
What are the most important information and services provided by my institution?
How important is public communication for achieving my institution’s core objectives?
How can social media support my institution’s core mission? What are examples from similar institutions domestically or internationally?
Can social media enable outside actors to support selected activities of my institution, e.g. intermediaries or individuals for which my institution can provide a platform for collaboration?
|Governance modes and guidelines||Is there a central oversight body for social media use across government or is the preferred operating mode one of dispersed innovation?
How can different organizational units in my institution leverage social media, e.g. the public relations department, the IT department, the policy making department and the service delivery department?
Is there a need for social media guidelines for civil servants, including for personal use?
Is there a need for social media guidelines for official institutional accounts, e.g. Facebook presence of a given ministry?
Who, if anybody, sets guidelines for social media use by politicians or appointed high-ranking civil servants representing an institution?
|Legal compliance||What are the specific legal and regulatory provisions that may have an impact on how my institution uses social media?
Are social media covered or excluded from official record-keeping?
What disclaimers should be added to the social media presence?
What information is my institution allowed to re-use when it comes to privacy protection or compliance with intellectual property laws?
How to ensure that my institution’s social media use meets requirements for accessibility of information and services?
|Skill and resources||What human resources are available or can be mobilized to achieve sustainable impacts?
Are social media skills addressed by wider (digital)skills strategies at my institution or government?
How are social media expenses accounted for? Can they be extracted from overall communications expenses to calculate specific costs?
|Collaboration and community-building||Do government communities exist where I can exchange social media experiences?
What coordination or collaboration mechanisms would help my institution understand and maximize the impact of social media?
|Managing risks of social media use||How damaging would reputational risks be for my institution?
Does my institution need to worry about unintentional disclosure of information?
What share of civil servants uses social media in their personal capacity?
Are social media risks addressed by overarching strategies for managing risks in my institution or government?
|Monitoring and measuring social media impacts||How advanced are my social media indicators? What do they actually measure: presence, popularity, penetration, perception or purpose?
Does my institution use indicators that evaluate the contribution to actual core objectives?
What would be an ideal set of metrics for my institution’s use of social media?
What information sources can I use to move from the current metrics to an ideal set of purpose-oriented indicators?
Appendix 1. Variables and Indicators
There is a legal foundation of social media use in city government.
Availability of local government institution that is responsible for handling social media.
Standard operating procedure for handling social media.
Virtual platform for an informal and open sharing of thoughts, expectations, assumptions and values which offers an opportunity to form alliances of collective.
Qualification of personnel.
Chief information capability.
Integration ICT to organization.
Process integration and information integration (sharing).
Decision and planning
Prioritization of information exchange as critical to service delivery.
Organizational stress dependent on depth of action.
Organization culture and cognitive routine
Degree of response, non-response, generic response, direct informational response, referred informational response and referred action.
Structural change/intraorganizational networking.
Understanding of functions between units.
The number of demands based on social media information.
The level of completion of public demands.
The effectivity of completion of public demands.
Appendix 2. Local government official questionnaire
Appendix 4. Documents needed
Community outreach (emergency, crime/traffic alerts, 24/7 level of service, recruitment).
Feedback (from community to organization, social trends, locale, fast spreading ideas).
Population reached (misses traditional/older population or can’t afford technology).
One-way vs two-way (pushing out vs creating dialogue, effort/costs different).
Tone (Government presents just the facts, not stories, not press release, listen then educate).
Quality of content (accuracy, facts of situation, un-vetted information, misinformation).
Quantity of messages (how to be heard, from 1 to 10 to 1000s, overwhelming, loss of control).
Personal level (information overload, ability to write complete thoughts, nuances of face-to-face lost).
Security (network exposed to world).
Technology and equipment (cost of technology and maintenance, cost savings, training).
Social media (SM) outlets (knowing audience/expertise, users expect transparency, so many outlets).
Public record/FOIA (are SM public record, tools needed to save, outdated polices).
Management buy-in (unknown expectations, undervalued, need to set culture).
Control issues (how much to control, what we can control, telling how/what to think/do).
Human resource (HR) components (job descriptions, evaluation, expertise, dialogue, positive and negative).
SM communications policy (what not to do/say, right people to make SOP, moving target).
Professional level (privacy concerns, devices owned by county, investigative purposes).
Data maintenance (FOIA data maintenance and related costs).
Owing vs using someone else (official outlet versus imposter, use in investigations.
Public record/FOIA (are SM public record, tools needed to save, outdated polices).
Resource issues (SM adds to previously full-time job, other duties, limit 24/7 expectation).
ROI/cost to value (how to measure value, who are we reaching, enough received messages).
Education (tools to manage, learning from each other, train constituents where to go).
Training (best practices for dividing duties, case studies, understanding management’s concerns).
Other (educate nonusers, establish boundaries).
Comments and trackbacks.
Connections (between members).
Interactivity (with other media).
Members, friends, followers.
Number of groups (networks/forums).
Time spent on site.
Virility – spread of posts Visitors/unique visitors.
Frequency: visits, posts, comments by time period.
Ratios: member to contributor; posts to comments; active to passive contributors, etc.
Customer service metrics
Quality and speed of issue resolution.
Relevance of content, connections.
Cost per lead.
Cost per prospect.
Lifetime value of customers.
Number of leads per period.
Number of new product ideas.
Number of qualified leads per period.
Ratio of qualified to non-qualified leads.
Time to qualified lead.
Number of mentions (tracked via web or blog search engines).
Positive/negative listing ratios on major search engines.
Positive/negative sentiment in mentions.
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The authors cordially thank two blinded reviewers who have contributed to improve the quality of this paper. Authors also want to thank Jusuf Kalla School of Government Universitas Muhammadiyah Yogyakarta and Thailand government that supported this research.This research is a joint research project under Jusuf Kalla School of Government funding, Khon Kaen University research project and Iligan Institute of Technology, MSU research project.
About the authors
Sataporn Roengtam is a Professor at the Department of Public Administration, Khon Kaen University, Thailand. His research interests are local governance and democracy.
Achmad Nurmandi is a Director of Jusuf Kalla School of Government, Universitas Muhammadiyah Yogyakarta, Indonesia. His research interest is strategic management in public sector, urban governance and e-government.
David N. AlMarez’s research interest is e-government and democracy.
Anwar Kholid’s research interest is e-government and government reform.