Search results

The purpose of this paper is to understand from the knowledge management perspective how the mechanism of different voluntary compliance behaviors works and how information technology is used for compliance management in corporate settings where privacy and security issues are getting critical due to the advancement of big data and artificial intelligence.

In this study, the authors propose a structural model based on the theory of planned behavior and the IT relatedness theory that behavioral belief about compliance and social pressure affect compliance knowledge and compliance intention, and compliance knowledge partially mediates the impact of both independent variables on compliance intention. The authors surveyed with a structured questionnaire 975 employees of a major Korean energy company, S-OIL, which deploys a compliance support system. The respondents are classified into two groups: an Active IT Utilization Group and a Passive IT Utilization Group.

The results of our empirical examination show that compliance intention belief and social pressure influence compliance intention, and further, that compliance behavior is mediated by compliance knowledge – in both the active IT utilization group and the passive IT utilization group. However, the significance of each path coefficient, R square and the mediation effect in Model 1 (passive IT utilization group) are obviously a poor contrast to Model 2 (active IT utilization group). Also, the path from behavioral belief to compliance knowledge and social pressure to compliance knowledge show a significant moderating effect of IT utilization level.

This paper aims to promote more effective voluntary compliance behavior by increasing the understanding of the impact differences of the preceding factors, and the ways in which those are related to the knowledge management practice in terms of both knowledge itself and its support systems, i.e. compliance support system.

This paper has the purpose of investigating the effect of organizational and individual characteristics on corporate intranet utilizations measured in terms of utilization modes, utilization for decision support and utilization for knowledge sharing.

The study employed a positivist case study approach conducted at four corporate organizations operating in Malaysia. About 700 questionnaires were administered to intranet users yielding 359 usable responses.

Four organizational characteristics, namely top management support, technical user support, functional integration and social norm, were found to be significantly related to intranet utilization variables. Likewise, four individual characteristics, namely web efficacy, personal information technology innovativeness, length of service and intranet experience, were also found to be significantly related to intranet utilization variables.

Only four organizational and individual characteristics were explored. In addition, data were collected employing a cross‐sectional design instead of longitudinal design. The perceptual measures used in the questionnaires could also contribute to biasness.

The study contributes to the body of knowledge by developing an empirical‐based framework that depicts the determinants of intranet utilization at user‐level perspective.

This study aims to examine how implicit distance (cognitive and social) impacts supply chain capabilities, and the roles of information technology (IT) utilization and supply chain flexibility in this process.

The authors designed a conceptual model including the implicit distance, supply chain flexibility, supply chain capability and IT utilization and verified the relationships among variables through a survey that collected data from 104 manufacturing enterprises in China.

The results show that cognitive and social distances positively and negatively affect supply chain flexibility, respectively. Furthermore, IT utilization strengthens the positive effect of cognitive distance and the negative effect of social distance on supply chain flexibility. Additionally, supply chain flexibility has a positive effect on supply chain capability and mediates the effects of cognitive and social distances on supply chain capability.

Enterprises should prioritize cooperation with different types of partners with whom the enterprises have established good collaborative working experiences. Moreover, if enterprises cooperate with new partners, enterprises should communicate and handle things face to face instead of frequently utilizing IT.

This study links the implicit distance between enterprises with supply chain capability and newly applies social network theory to explain the mechanism. Further, the authors' data confirm the moderating role of IT utilization in this process, supplementing the research on implicit distance. Moreover, this study employs dynamic capability theory to better understand how firms can improve supply chain capabilities.

This paper proposes to rethink the concepts of relevance and usefulness and their relation to the theory–practice gap in management research.

On the basis of the cognitive-linguistic relevance theory or inferential pragmatics, supplemented by insights from information science, we define relevance as a general conceptual category, while reserving usefulness for the instrumental application in a particular case.

There is no reason to hold onto the difference between theoretical and practical relevance, nor to distinguish between instrumental and conceptual relevance.

This novel approach will help to clarify the confusion in the field and contribute to a better understanding of the added value of management research.

The paper presents the extent of information technology (IT) utilization in libraries in Pakistan together with librarians’ level of knowledge in IT and their attitudes toward IT in libraries. Primary data were collected through a questionnaire survey of 244 librarians working in libraries in Pakistan. The study revealed not only a low level of IT usage, but also a low level of IT knowledge among librarians. Analysis of relationships revealed that IT utilization in libraries, librarians’ awareness of the potential of IT, recency of attaining professional qualifications, and knowledge in IT had a significant relationship with librarians’ attitudes. The findings of the study also revealed that the level of IT utilization and the librarians’ level of knowledge in technology are good predictors of librarians’ attitudes toward application of IT in their libraries.

This study investigates key factors that influence the utilization of the internet by internationalizing firms in one transition market, Vietnam.

A systematic sample of 306 internationalizing firms in Ho Chi Minh City was surveyed to test the theoretical model. Structural equation modelling was used to analyze the data.

This study finds that the two key concepts in the technology acceptance model (TAM), perceived usefulness and perceived ease of use of the internet, can be used to predict internet utilization by organizations. Market orientation is also a predictor of internet utilization. Learning orientation facilitates perceived usefulness and perceived ease of use of the internet by internationalizing firms, and hence its utilization.

Further research is needed to investigate other antecedents as well as outcomes of internet utilization by internationalizing firms.

This study suggests that programmes for the assistance and training of internationalizing firms should promote the usefulness and ease of use of the internet, and foster market orientation and learning orientation, in order to stimulate them to use the Internet effectively in the pursuit of marketing success in international markets.

This study expands the explanatory power of the TAM in predicting the utilization of the Internet by internationalizing firms.

The aim with this paper is to describe current IT practices within maintenance in Swedish industry, and to outline the future possible developments.

The study is performed as a web‐based questionnaire survey consisting of 71 participants. A systems perspective is applied for capturing the most relevant aspects of IT utilisation.

The IT practices are characterised by high use of business‐specific IT solutions, low use of company‐wide IT solutions, low IT intensity and the client‐server architecture is dominating. The purchase decision and ownership of IT is to high extent tied to the maintenance function. Moreover, IT systems are apprehended as beneficial and connected to real needs. The findings imply a decentralised IT governance form and a mainly vertical (functional) IT support.

The socio‐technical approach suggested in this paper helps us to identify which areas to study, and also shows the tight interrelationship between different factors, layers and systems.

The study results could be used for benchmarking purposes or to highlight state‐of‐the‐art of IT utilisation in maintenance, and thereby set the topic on the corporate agenda.

Studies describing IT utilisation within maintenance in the form of case studies and surveys exist, but they mainly focus on one aspect. This study approached the problem from a socio‐technical perspective, covering several aspects connected to IT utilisation.

Data centers (DCs) are similar to traditional factories in many aspects like response time constraints, limited capacity, and utilization levels. Several indicators have been developed to monitor and compare productivity in manufacturing. However, in DCs most used indicators focus on technical aspects of infrastructure, not efficiency of operations. The purpose of this paper is to rely on operations management to define a commensurate and proportionate DC performance indicator: the energy-efficient utilization indicator (EEUI). EEUI makes objective and comparative assessment of efficiency possible independently of the operating environment and its constraints.

The authors followed a design science approach, which follows the practitioner’s initial steps for finding solutions to business relevant problems prior to theory building. Therefore, this approach fits well with this research, as it is primarily motivated by business and management needs. EEUI combines both the amount of energy consumed by different components and their current energy efficiency (EE). It reaches its highest value when all server components are optimally loaded in EE sense. The authors tested EEUI by collecting data from three scientific DCs and performing controlled laboratory tests.

The results indicate that the optimization of EEUI makes it possible to run computing resources more efficiently. This leads to a higher EE and throughput of the DC while reducing the carbon footprint associated to DC operations. Both energy-related costs and the total cost of ownership are consequently reduced, since the amount of both energy and hardware resources needed decrease, while improving DC sustainability.

In comparison with current DC operations, the results imply that using the EEUI could help increase the EE of DCs. In order to optimize the proposed EEUIs, DC managers and operators should use resource management policies that increase the resource usage variation of the jobs being processed in the same computing resources (e.g. servers).

The paper provides a novel approach to monitor the EE at which computing resources are used. The proposed indicator not only considers the utilization levels at which server components are used but also takes into account their EE and energy proportionality.