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Despite the increasing technological capabilities and its affordability, a significantly large proportion of developing nations’ population are still lacking resources to own basic information and communication technologies such as computer and internet. This suggests that majority of the citizens from developing countries (e.g. India) are also not able to access and use emerging electronic government applications and services. This is leading to a further and bigger digital divide gap that already exists between rural and urban as well as economically less and more able population. To reduce the widening digital divide, India has innovated Common Services Centres (CSCs) as means to deliver public services electronically to citizens at the village level. This viewpoint paper aims to discuss some of the challenges and obstacles of such CSCs and to offer some recommendations for their effective implementations and sustainable operations.

This is a viewpoint paper that is based on authors’ awareness of the context as well as knowledge and issues relevant to the research topic. A number of appropriate and current citations have been utilised to illustrate the current state on the topic as well as to support authors’ arguments presented in this paper.

The paper identified a number of key issues relevant for effective implementation and sustainable operation of CSCs. The authors present their views and recommendations related to the following key issues: connectivity problems, lack of or delayed rollout of government to citizen (G2C) services, demotivated village-level entrepreneurs due to lack of G2C services, low computer literacy, lack of awareness about services and facilities, lack of adequate training and support, poor provisioning of an effective infrastructure, lack of support from the concerned government officials, inaccessible locations, burden of high investment, corruption at the government level, lack of skilled manpower to run the CSCs, lack of power supply, language barrier, lack of space, problem with maintenance and management of connectivity network and problem caused by the Naxalite and anarchist activity.

The discussion and recommendations presented in this paper would be valuable to various agencies (both from public and private sectors) as well as policymakers for effective implementation and long-term sustainability of CSCs. The approach discussed in this paper offers an effective way to diffuse e-government applications and services in other developing countries (particularly resource-constrained nations from African, Asian and Latin American regions).

Digital financial services (DFS) have substantial prospect to offer a number of reasonable, appropriate and secure banking services to the underprivileged in developing countries through pioneering technologies such as mobile phone based solutions, digital platforms and electronic money models. DFS allow unbanked people to obtain access to financial services through digital technologies. However, DFS face tough challenges of adoption. Realising this, the purpose of this paper is to identify such challenges and develop a framework.

The authors developed a framework of challenges by utilising interpretive structural modelling (ISM) and fuzzy MICMAC approach. The authors explored 18 such unique set of challenges culled from the literature and further gathered data from two sets of expert professionals. In the first phase, the authors gathered data from 29 professionals followed by 18 professionals in the second phase. All were pursuing Executive MBA programme from a metropolitan city in South India. The implementation of ISM and fuzzy MICMAC provided a precise set of driving, linkage and dependent variables that were used to derive a framework.

ISM model is split in eight different levels. The bottom level consists of a key driving challenge V11 (i.e. high cost and low return related problem), whereas the topmost level consists of two highly dependent challenges namely V1 (i.e. risk of using digital services) and V14 (i.e. lack of trust). The prescribed ISM model shows the involvement of “high cost and low return related problem (V11)”, which triggers further challenges of DFS.

None of the existing research has explored key challenges to DFS in detail nor formulated a framework for such challenges. To the best of the authors’ knowledge, this is the first paper on DFS that attempts to collate its challenges and incorporate them in a hierarchical model using ISM and further divide them into four categories of factors using fuzzy MICMAC analysis.

The purpose of this paper is to identify and examine the most important factors that could predict the Saudi customer’s continued intention towards adoption of mobile banking.

The proposed conceptual model was based on the technology acceptance model (TAM) and task-technology fit (TTF) model. This is also expanded by considering two additional factors: perceived privacy and perceived security. By using a self-administered questionnaire, the data were collected from a convenience sample of Saudi banking customers from different parts of Saudi Arabia.

The main results based on structural equation modelling analyses supported the impact of perceived privacy, perceived security, perceived usefulness and TTF on the customers’ continued intention to use mobile banking.

The moderation influence of the demographic factors (i.e. age, gender, income level, educational level) was not tested. The data were also collected using a self-report questionnaire; however, it would be more accurate to utilise more statistics from the bank database about the users of m-banking.

This study represents a worthy attempt to test such novel technology (m-banking) in the KSA where there is a scarcity of literature. A considerable theoretical contribution was also made by integrating the TTF model with the TAM in addition to consider privacy and security in one single model. Moreover, considering both perceived privacy and security in the current model creates an accurate picture about the adoption of m-banking especially as there are a limited number of m-banking studies that have considered privacy and security alongside the TTF model and TAM in the same model.

The purpose of this paper is to understand the factors that determine the knowledge exchange intention and behavioural nature of academics by the help of social media tools in the Indian higher education.

This study has used valance–instrumentality–expectancy (VIE) theory to determine the knowledge exchange behaviour of academics. The study has considered the effects of knowledge contributor (KC) and knowledge seeker (KS) as moderators. The model has been validated by using a survey with 320 usable respondents.

The results highlight that if the stakeholders of higher education institutions feel the deficits of knowledge exchange, they realize importance of knowledge sharing and use social media to increase effect of knowledge exchange. Besides, perceived usefulness impacts on the use of social media for knowledge exchange by the concerned stakeholders. Moreover, it is observed that experience of the use of social media impacts the use of this tool for knowledge exchange.

The use and application of VIE theory have successfully been able to interpret the factors affecting use of social media for knowledge exchange in higher educational institutes. The use of VIE theory has also been able to explain the proposed model better as the model could achieve a high explanative power (87%).

This study has provided meaningful insights to the practitioners and policymakers to realize how the stakeholders of the higher education institutions in India can be motivated to feel the need of sharing of knowledge and how they can use social media with ease for this purpose.

Not much research has been conducted with regard to the usage of social media as a tool for knowledge sharing in higher education sector in India. In that sense, this study is a novel attempt to undertake such research.

The purpose of this paper is to understand the integrated impact of the application of protection measures against identity theft on consumers’ synergistic perception of trust, the cost of products/services and operational performance (OP) – all of which in turn is postulated to contribute to purchase intention (PI) when shopping online.

In order to accomplish the specified aim, this study first conducted an experiment by involving the students from a university in Bangladesh. Then a survey was conducted to capture their opinion based on the previous experiment.

The study identified that in e-commerce, OP and trust have potential impact on pursuing consumers’ PI. Traditionally, price is always an issue in marketing; however, for e-commerce, this issue does not have direct impact on PI.

The main limitation of this study is that a less established e-commerce example was utilized to conduct the experiment and survey for validating the model. Also, the study was conducted only in the context of Bangladesh and a student sample was utilized. Future studies can test the model in different contexts (particularly to verify the impact of privacy) by utilizing data from consumers.

This study has resolved a controversial issue by generating clear guidelines that the overall conjoint effect of OP, trust, and price on PI is neither negative nor neutral. Synergistically, the application of these controlling tools of identity theft can substantially enhance consumers’ trust, which is the single most predictor to pursue consumer PI.

This study has provided in-depth insight into the impact of different controlling measures in e-commerce PI. Practitioners have potential learning from this study that if consumers find the application of different controlling mechanisms against cybercrimes, particularly identity theft, enhancing the reliability, authenticity and security of transactions in this virtual medium, they do not mind paying a higher price. Such insights have not been provided by existing studies on this topic. Developing trust on e-commerce purchase is the driving force, not the price.

Despite the potential of social media in emerging markets (EMs), only a few studies published in high-quality information systems (IS) journals that have addressed issues related to social media in the context of EMs. The purpose of this paper is to analyse existing research related to social media published in high-quality IS journals for exploring initial research trends, emerging themes, limitations and future research directions in the context of EMs.

This study conducted a systematic review of 22 articles on social media, which were published in the “Senior Scholars Basket of IS Journals and Information Systems Frontiers” from 1997 to 2017. Manual literature search approach (i.e. screening through the table of contents of each journal) was employed to identify relevant articles. The content of relevant articles was systematically analysed and synthesised along with keyword analysis to understand research trends on social media related issues in the EMs context.

The study identified four major themes from existing research on the social media in the context of EMs, namely: social media frameworks; social media and consumers; social media and organisations; and social media and society with the majority of the studies focussing on consumers. A single subject was found as the major limitation with studies analysed focussing on single platform/country/domain hindering the generalisability whereas including a new exogenous variable to improve the validity of existing studies emerged as main future research direction.

This study conducted literature review on social media in EMs, which have not been undertaken yet. Moreover, it employed manual search (an effort and time-intensive approach) to overcome the shortcomings of keyword search to identify, locate, select and analyse the social media literature in the context of EMs.

This study aims to examine the impact of mobile interactivity dimensions (active control, personalization, ubiquitous connectivity, connectedness, responsiveness and synchronicity) on customer engagement.

A quantitative field survey study was conducted to collect the required data from actual users of mobile shopping in three countries: Jordan, the United Kingdom (UK) and Saudi Arabia.

The results are based on structural equation modelling and support the impact of five dimensions of mobile interactivity: active control, personalization, ubiquitous connectivity, responsiveness and synchronicity. The impact of connectedness is not supported. The results also support the significant impact of customer engagement on customer loyalty.

This study only considered the shopping activities conducted by mobile channels, while other channels (e.g., online channels, traditional channels and social media shopping channels) are not considered. Furthermore, the current model does not consider the impact of personal factors (e.g., technology readiness, self-efficacy and user experience). The results of the current study present a foundation that can guide marketers and practitioners in the area of mobile shopping.

This study enriches the current understanding of the impact of mobile interactivity on mobile shopping, as well as how mobile interactivity can enhance the level of customer engagement.

The purpose of this paper is to explore the impact of factors such as attention, preparation, participation, feedback and engagement on the student learning performance.

Students of an undergraduate business course of a British university took part in the survey. The survey questionnaire was distributed to students during the revision week of the course and a total of 61 valid responses were gathered from them. The linear regression analysis using statistical package for the social sciences was performed to analyse the data.

The results indicated the significant relationships for all six hypotheses. The model explains a variance of 43.2 per cent in learning performance, which indicates that independent constructs contribute significantly on the research model’s performance.

First, the sample only provides the students’ views about the use of clickers in the classroom setting. Second, the sample size for the gathered data is small. Third, the variance explained by the research model is reasonably moderate and hence can be improved further.

This is the first study to explore the impact of factors such as attention, preparation, participation, feedback and engagement on the student learning performance in the UK educational setting.

Consumers have the multiple options to choose their products and services, which have a significant impact on the pattern of consumer decision making in digital market and further increases the challenges for the service providers to predict their buying pattern. In this sense, the purpose of this paper is to propose a structural hierarchy model for analyzing the changing pattern of consumer decision making in digital market by taking an Indian context.

To accomplish the objectives, the research is conducted in two phases. An extensive literature review is performed in the first phase to list the factors related to the changing pattern of consumer decision making in digital market and then fuzzy Delphi method is applied to finalize the factors. In the second phase, fuzzy analytic hierarchy process (AHP) is employed to find the priority weights of finalized factors. The fuzzy set theory allows capturing the vagueness in the data.

The findings obtained in this study shows that consumers are much conscious about innovative and trendy products as well as brand and quality; therefore, the service providers must think about these two most important factors so that they can able to retain their consumer in their online portal.

The analysis shows that “innovative and trendy” is the first priority factor for the consumers followed by “brand and quality” and “fulfilment and time energy.” The proposed model can help the marketers and service providers in predicting customers’ preferences and their changing pattern efficiently under vague surroundings. The outcomes of this research work not only help the service provider to update their products and services according to consumers’ needs but can also help them to increase profit and minimize their risk.

This work contributes to consumer research literature focusing on problem evaluation in the context of changing pattern of consumer decision making in digital era.

Numerous studies have examined factors influencing electronic word of mouth (eWOM) providing behaviour. The volume of extant research and inconsistency in some of the findings makes it useful to develop an all-encompassing model synthesising results. Therefore, the purpose of this study is to synthesise findings from existing studies on eWOM by using meta-analysis, which will help to reconcile conflicting findings of factors affecting consumers’ intention to engage in eWOM communications.

The findings from 51 studies were used for meta-analysis, which was undertaken using comprehensive meta-analysis software.

Factors affecting eWOM providing behaviour were divided into four groups: personal conditions, social conditions, perceptual conditions and consumption-based conditions. The results of the meta-analysis showed that out of 20 identified relationships, 16 were found to be significant (opinion seeking, information usefulness, trust in web eWOM services, economic incentive, customer satisfaction, loyalty, brand attitude, altruism, affective commitment, normative commitment, opinion leadership, self-enhancement, information influence, tie strength, homophily and community identity).

One of the limitations of this study is that the studies for this research were collected the only form from Web of Science, Scopus and Business Source such as databases, which result in a limited number of studies available for weight and meta-analysis. A wider range of databases should be used by future research. Also, this study only considered quantitative studies and excluded qualitative studies. Thus, future studies could include both types of studies in the meta-analysis.

By focussing on the best predictors of intention to provide eWOM communications (e.g. self-enhancement and trust in web eWOM services) managers can improve reader engagement and information assimilation. Knowing motivations to engage in eWOM helps platform operators design their service in a more customer-oriented way. By better understanding motivations to engage in eWOM communications marketers and researchers can influence individuals’ online information assimilation which can affect consumer purchase decisions, customer loyalty and consumer commitment to the community.

Applying meta-analysis helped the reconciliation of conflicting findings, enabled investigation of the strengths of the relationships between motivations and eWOM providing behaviour and offered a consolidated view. The results of this study facilitate the advancement of current knowledge of information dissemination on the internet, which can influence consumer purchase intention and loyalty.