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Examines empirically which of a range of variables affect managers′ perceptions of the management information system (MIS) designed to support logistics. The results suggest that the adoption of computer software, the use of specific informational control devices and some aspects of logistics organisation have an effect in both smaller and larger firms. Other variables, such as the title and tenure of the senior logistics executive, do not systematically predict variance in managers′ perceptions of logistics MIS.

Research on how performance measurement systems affect employees’ perceptions of workplace fairness is important. As organizations often rely on their performance measurement systems to communicate information to their employees, it is useful to ascertain if and how the developments of performance measurement systems that are far more comprehensive than traditional financial systems affect employees’ perceptions of informational fairness through the information communicated to employees. Informational fairness refers to employees’ perceptions of workplace fairness that is based on the amount and the truthfulness of information that organizations provide to their employees. Based on a sample of managers from manufacturing organizations, the Partial Least Square results indicate that comprehensive performance measurement systems (comprehensive PMS) have a significant direct effect on job-relevant information. They also indicate that comprehensive PMS have an indirect effect on informational fairness via job-relevant information. In contrast, systems that are based on financial measures have no significant effects on job-relevant information and informational fairness. These results demonstrate how comprehensive PMS (through the communication of a greater amount of job-relevant information) can be used to engender employees’ perceptions of high workplace fairness.

Following the assumption that studies of information inequality need to be based on precise discrimination between society’s information rich and poor and against the context that a mechanism for such discrimination is still lacking, the purpose of this paper is to explore the possibility of establishing a holistic informational measurement.

It does so by developing a measurement based on the conceptualization of the individual as an information agent and his/her information world as his/her characterization. The development procedure consists of four steps: operationalization of the theoretical constructs and the initial drafting of the questionnaire instrument; revisions of the questionnaire based on pilot tests with small groups of people; weighing of the questionnaire items for the purpose of calculating index-type variable scores; formal test of validity and reliability.

The resulting measurement consists of eight variables corresponding to eight theoretical constructs of an individual’s information world, each being measured by a group of questionnaire-based items which, in turn, generate an index-type score as the variable’s value. Validity and reliability tests show that the measurement is, on the whole, able to distinguish the information poor from the information rich and to measure individuals consistently.

The study demonstrates that it is possible to distinguish the information rich and poor by informational measurement in the same way as to distinguish economic groups by income, ethnic groups by race and intelligence groups by IQ; and that such a measurement has arguably multifaceted value for information inequality research.

The purpose of this study is to explore the impact of online reviews on answer adoption in virtual Q&A communities, with an eye toward extending knowledge exchange and community management.

Online reviews contain rich cognitive and emotional information about community members regarding the provided answers. As feedback information on answers, it is crucial to explore how online reviews affect answer adoption. Based on signaling theory, a research model reflecting the influence of online reviews on answer adoption is established and empirically examined by using secondary data with 69,597 Q&A data and user data collected from Zhihu. Meanwhile, the moderating effects of the informational and emotional consistency of reviews and answers are examined.

The negative binomial regression results show that both answer-related signals (informational support and emotional support) and answerers-related signals (answerers’ reputations and expertise) positively impact answer adoption. The informational consistency of reviews and answers negatively moderates the relationships among information support, emotional support and answer adoption but positively moderates the effect of answerers’ expertise on answer adoption. Furthermore, the emotional consistency of reviews and answers positively moderates the effect of information support and answerers’ reputations on answer adoption.

Although previous studies have investigated the impacts of answer content, answer source credibility and personal characteristics of knowledge seekers on answer adoption in virtual Q&A communities, few have examined the impact of online reviews on answer adoption. This study explores the impacts of informational and emotional feedback in online reviews on answer adoption from a signaling theory perspective. The results not only provide unique ideas for community managers to optimize community design and operation but also inspire community users to provide or utilize knowledge, thereby reducing knowledge search costs and improving knowledge exchange efficiency.

Online health communities (OHCs) have become increasingly popular sources of health information in recent years. However, little is known about the factors that affect the relationship commitment and continuous knowledge sharing intention among OHC members. Thus, this study aims to integrate social exchange and commitment-trust theories to establish a theoretical model to fill the gap.

A research model that integrates social exchange theory and commitment-trust theory is developed. Quantitative data from 519 valid questionnaires are collected via an offline survey. Statistical product and service solutions 20.0 and analysis of a moment structures 20.0 software are used to test the hypotheses.

Relationship commitment directly influences continuous knowledge sharing intention, partially mediates the relationship between social support and continuous knowledge sharing intention, and fully mediates the relationship between perceived health risks and continuous knowledge sharing intention. Informational and emotional supports are identified as benefit factors that positively affect relationship commitment and perceived health risks are regarded as cost factors that negatively influence relationship commitment. Informational and emotional supports of OHC members produce different effects on relationship commitment when members obtain social support from different sources. Moreover, trust moderates the influences of informational support and perceived health risks on relationship commitment.

The findings provide additional insights that can augment the knowledge management literature by indicating how people are driven to share knowledge continuously in the context of OHCs. This study empirically clarifies the relationships of benefits (i.e. social support) and costs (i.e. perceived health risks) to continuous knowledge sharing intention by demonstrating the significant mediating effect of relationship commitment. In addition, the findings of this study highlight the importance of the social support source in OHCs and provide additional insights into commitment–trust theory by integrating the moderating effect of trust on the relationships between relationship commitment and its antecedents.

Combining the coping theory and social support theory, this study aims to reveal users' coping strategies for mobile fitness app (MFA) engagement and fitness intentions with a rigorous and comprehensive hybrid research approach.

A three-stage hybrid research design was employed in this study. In the first stage, this study utilized structural equation modeling (SEM) to investigate the associations between coping resources and coping outcomes. A post hoc analysis was conducted in the second stage to unveil the reasons behind the insignificant or weak linkages. In the third stage, the fuzzy-set qualitative comparative analysis (fsQCA) technique was applied to explore the various configurations of coping resources that lead to the coping outcomes.

The results in the three stages verify and compensate each other. The SEM results confirm the presence of two coping strategies in MFA, highlighting the importance of the intertwining of the strategies, and the post hoc analysis unveils the mediating role of positive affect. Moreover, the fsQCA results reinforce and complement the SEM findings by revealing eight alternative configurations that are sufficient for leading to users' MFA engagement and fitness intention.

This study offers a prominent methodological paradigm by demonstrating the application of multi-analysis in exploring users' coping strategies. In addition, the study also advances the understanding of the complexity of the mechanism that determines users' behavioral decisions by presenting a comprehensive interpretation.

This study aims to explore how and what type of team diversity is related to team creativity in R&D organizations, incorporating conflict as a mediator and transformational leadership as a moderator.

Survey questionnaires were used to collect data from 24 Korean R&D teams (185 team members, 24 team leaders and 24 managers) in the public and private sectors. The dependent variable, team creativity, was measured by questioning R&D team managers to whom R&D team leaders report directly, and the antecedents, mediator and moderator were answered by team members and their leaders.

The data confirmed that team diversity, particularly informational diversity, was positively associated with team creativity. However, conflict did not show a significant mediating effect between team diversity and creativity. Transformational leadership had a negative moderating effect between informational diversity and task conflict in such a way that when transformational leadership was high, teams with higher informational diversity showed lower task conflict between team members.

A growing number of R&D projects require interdisciplinary efforts resulting in incorporating scientists and engineers from multiple disciplines, and growing numbers of women and minorities now choose careers in science and technology. Naturally, R&D project teams have become more diverse than before. This study provides empirical evidence from multiple sources, showing both mediating and moderating effects on the relationship between R&D team diversity and creativity.

Information technology (IT) has been widely applied across many economic sectors in order to increase competitiveness and reduce costs. This paper identifies that uptake of IT within construction is low. It is argued that significant barriers preventing construction organizations from investing in IT include uncertainty concerning the identification and measurement of benefits associated with applications. In particular, it is argued that difficulties in quantifying benefits associated with improved information availability and decision making prevent effective IT cost/benefit analysis. Existing approaches to evaluating IT within construction are reviewed. A framework is presented which identifies metrics by which IT impacts both management and operational processes within construction in order to deliver value. An evaluation methodology tailored to one specific IT application, high‐density bar coding in maintenance management, is presented to illustrate the quantification of both the costs and benefits of applying IT.

Food delivery apps (FDA) have been widely adopted by customers in online-to-offline (O2O) catering businesses. This study aims to explore the mechanism regarding the stickiness of FDA and indicates why customers have the intention to reuse them.

A research model was developed based on the e-commerce system successful model (ECSS model) and social influence theory. Using the data collected from 312 customers who have FDA usage experience via an online survey, the established model was empirically assessed by partial least squares based structural equation model.

The results show that factors including information quality, ease of use, convenience and various choices perceived by FDA users are significant antecedents of customer satisfaction and perceived value, which in turn positively influence customers' intention to reuse. Besides, informational social influence and normative social influence play important roles in directly or indirectly affecting customers' intention to reuse.

This study extends the e-commerce system success model and enriches the literature regarding stickiness of FDA. Besides, the understanding of social influence in FDA usage has been deepened by addressing its role in the ECSS model based on the features and contexts of such apps.

The purpose of the paper is to explore an emerging challenge for large public‐sector bureaucracies: developing information and performance measurement systems that support anti‐corruption efforts.

The paper is an analytical framework linking functions and contexts of performance measurement to anti‐corruption requirements. The framework is used to explore a case study of the World Bank's ongoing efforts to strengthen anti‐corruption information systems in Indonesia.

The paper finds that a range of organizations are increasingly turning to performance measurement systems to fulfill several functions related to organizational integrity: to hold organizations accountable for reaching publicly stated standards of fiduciary responsibility and corruption control; to identify vulnerable operational points in multi‐faceted public enterprises; and to facilitate organizational learning regarding “what works”. Yet corruption is difficult to measure, and corruption vulnerabilities often arise from informal practices, insufficient incentives for enforcement or adherence to standards, and managerial blindspots. Enhanced information systems need to be coupled with effective and multi‐directional accountability arrangements in order for performance measurement to contribute effectively to corruption control.

The paper shows that improved information systems and a reassessment of managerial incentives and attitudes are both essential in order to reduce organizational vulnerability to corruption and to the public backlash that follows in the wake of corruption scandals.

The paper focusses on an emerging area of performance management likely to gain increasing visibility as large bureaucracies attempt to institutionalize public commitments to high anti‐corruption standards