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This study aims to examine how gamification increases employees’ knowledge contribution to the place of work. It develops and tests the conjecture that gamification adds hedonic value to the use of an enterprise collaboration system (ECS), which, in turn, increases in both the quality and quantity of knowledge contribution.

Drawing on the framework of successful gamification against a backdrop of affordance theory, this study develops and tests a theoretical model that explains the effects of gamification affordances on knowledge contribution via the use of an ECS. Empirical data were gathered from 166 employees at a global company that used a gamified ECS designed to aid knowledge sharing.

Results using structural equation modeling showed that three gamification affordances – rewardability, competition and visibility of achievement – jointly influenced employees’ perceived hedonic value of the ECS, which, in turn, increased knowledge contribution.

The results indicate that designing affordances that can increase hedonic value is central to facilitating employees’ knowledge contribution. However, simply incorporating game artifacts does not guarantee increased hedonic value of an ECS. Instead, assessing, monitoring and diagnosing what affordances users perceive from the use of a gamified system are important.

By conceptualizing gamification affordances rather than specifying the design features of enterprise applications, this study provides meaningful insights into how the benefits of gamification can be harnessed for knowledge management in organizations.

The purpose of this paper is to examine how different types of user experience in TikTok impact purchase intention via commitment to the influencer and commitment to the platform, with customer type included to determine moderating effects. Three types of user experience are considered: information experience, entertainment experience and parasocial-relationship-based experience.

This study collected 458 valid questionnaires from TikTok users, employing the structural equation modeling approach to examine the proposed research model.

Information experience, entertainment experience and parasocial-relationship-based experience are found to critically stimulate user commitment to the influencer and commitment to the platform, in turn driving TikTok-based purchase intention. Tests incorporating customer type reveal that commitment to the influencer more strongly influences the purchase intention of repeat customers, with commitment to the platform more likely to stimulate purchase intention among potential customers.

On a theoretical level, the paper is among the first to examine TikTok-based user purchase intention with customer type as a moderator. On a practical level, the results can guide marketers to effectively promote products using TikTok and inspire TikTok managers to develop customized strategies to stimulate initial and repeat sales.

TikTok is moving to the stage of commercialization and monetization by introducing e-commerce features. Although this move should cultivate particularly fertile ground for companies to sell products, TikTok user purchase behavior has yet to receive sufficient research attention, with little currently known about their purchase motivations. The current study uncovers the significant antecedents of users' purchase intention through TikTok, and further reveals the motivational differences among potential and repeat customers.

Although the short-video-based application TikTok and its AI-enhanced technology have achieved enormous success and reshaped the user experience, few studies have focused on the user experience in the TikTok context. This study adopts a technology affordance theory lens to identify the main mechanisms contributing to the user experience in the short-video platform context while including user experience level and video length as moderating effects.

This study collected 401 valid questionnaires from TikTok users and used the structural equation modeling approach to examine the proposed research model.

Three technology affordances (perceived effortlessness, perceived recommendation accuracy, and perceived recommendation serendipity) contribute to TikTok users' optimal flow experience. Multi-group analysis results further indicate that individuals react differently to the same stimuli as their experience level increases. Finally, video length critically influences the impact of technology affordances on users' cognitive responses.

As a burgeoning industry, the mechanisms enabling short-video platforms to engage users remain unclear to practitioners and researchers. Thus, this study's technology affordance lens provides necessary insights into how TikTok's innovative and advanced technologies contribute to user flow experience from a context-dependent perspective. Furthermore, given that most existing studies have neglected possible variations in user preferences when investigating the effects of technology, this study enriches the existing literature by employing user experience level and video length as moderators.

This research draws on goal framing theory and gamification affordance to understand how gamification design encourages users' continuous usage of information systems (IS) to perform proenvironmental behaviors.

Survey data (N = 307) were collected from users of a gamified IS designed for environmental protection. The research model was examined with structural equation modeling.

Satisfying users' demand on green effectiveness, enjoyment, and social gain directly/indirectly predicts users' intention to continue to utilize the gamified IS for proenvironmental behaviors. Moreover, gamification affordance of autonomy support, visibility of achievement, competition, and interactivity influences the satisfaction of the users' relevant demands.

This research contributes to the IS research for environmental sustainability at the individual level. Specifically, this research extends the understanding of users' decision-making on continuance and the role of gamification design in the context of gamified IS developed for environmental conservation.

Researchers have called for the synthesis of divergent perspectives and the development of a theoretical model that examines individuals’ donation behavior in charitable crowdfunding. To fill this research gap, the purpose of this paper is to synthesize the literature pertaining to the determinants of donation behavior in charitable crowdfunding. Then, drawing on the stimulus-organism-response framework, the authors develop and test a model that explains individuals’ intention to donate to charitable crowdfunding.

This paper follows a quantitative research approach. An online survey was distributed to collect data from individuals who had experienced charitable crowdfunding. In total, 205 valid responses were received and analyzed.

First, this study finds that individuals’ empathy and the perceived credibility of a charitable crowdfunding project are key determinants for their intention to donate in charitable crowdfunding. Second, the study finds that website quality, transaction convenience, and project content quality influence both empathy and perceived credibility in different ways. Third, it is noteworthy that initiator reputation is positively related to perceived credibility, while project popularity is positively associated with empathy.

This research advances the knowledge of individual donation behavior in charitable crowdfunding. The model can help researchers understand individuals’ philanthropic behavior by providing empirical explanations of the interplay between technological and project characteristics, emotional and cognitive states, and individuals’ donation behavior. For practitioners, the research suggests appropriate design, launch, and operation strategies to facilitate individuals’ donation behavior in charitable crowdfunding.

Many transport and logistics companies nowadays use raw vehicle GPS data for travel time prediction. However, they face difficult challenges in terms of the costs of information storage, as well as the quality of the prediction. This paper aims to systematically investigate various meta-data (features) that require significantly less storage space but provide sufficient information for high-quality travel time predictions.

The paper systematically studied the combinatorial effects of features and different model fitting strategies with two popular decision tree ensemble methods for travel time prediction, namely, random forests and gradient boosting regression trees. First, the investigation was conducted using pseudo travel time data that were generated using a pseudo travel time sampling algorithm, which allows generating travel time data using different noise processes so that the prediction performance under different travel conditions and noise characteristics can be studied systematically. The results and findings were then further compared and evaluated through a real-life case.

The paper provides empirical insights and guidelines about how raw GPS data can be reduced into a small-sized feature vector for the purposes of vehicle travel time prediction. It suggests that, add travel time observations from the previous departure time intervals are beneficial to the prediction, particularly when there is no other types of real-time information (e.g. traffic flow, speed) are available. It was also found that modular model fitting does not improve the quality of the prediction in all experimental settings used in this paper.

The findings are primarily based on empirical studies on limited real-life data instances, and the results may lack generalisabilities. Therefore, the researchers are encouraged to test them further in more real-life data instances.

The paper includes implications and guidelines for the development of efficient GPS data storage and high-quality travel time prediction under different types of travel conditions.

This paper systematically studies the combinatorial feature effects for tree-ensemble-based travel time prediction approaches.

Drawing on sensemaking and emotion regulation research, the purpose of this paper is to reconceptualize core contributor withdrawal (CCW) in the context of online peer-production communities (OPPCs). To explain the underlying mechanisms that make core contributors withdraw from these communities, the authors propose a process theory of contributor withdrawal called the core contributor withdrawal theory (CCWT).

To support CCWT, a typology of unmet expectations of online communities is presented, which uncovers the cognitive and emotional processing involved. To illustrate the efficacy of CCWT, a case study of the English version of Wikipedia is provided as a representative OPPC.

CCWT identifies sensemaking and emotion regulation concerning contributors’ unmet expectations as causes of CCW from OPPCs, which first lead to declined expectations, burnout and psychological withdrawal and thereby to behavioral withdrawal.

CCWT clearly identifies how and why important participation transitions, such as from core contributor to less active contributor or non-contributor, take place. By adopting process theories, CCWT provides a nuanced explanation of the cognitive and affective events that take place before core contributors withdraw from OPPCs.

CCWT highlights the challenge of online communities shifting from recruiting new contributors to preventing loss of existing contributors in the maturity stage. Additionally, by identifying the underlying cognitive and affective processes that core contributors experience in response to unexpected events, communities can develop safeguards to prevent or correct cognitions and emotions that lead to withdrawal.

CCWT provides a theoretical framework that accounts for the negative cognitions and affects that lead to core contributors’ withdrawal from online communities. It furthers the understanding of what motivates contributing to and what leads to withdrawal from OPPC.

The purpose of this paper is to draw on social exchange theory and heuristic–systematic model to examine how peer-to-peer (P2P) lending firms can enhance their customer acquisition by achieving mobile social media popularity.

Content data collected from multiple sources (websites and mobile applications) were employed to validate the research model.

The mobile social media popularity of P2P lending firms positively influences their customer acquisition. Furthermore, the heuristic cues (i.e. source credibility and content freshness) and the systematic cue (i.e. transaction relevance) potentially affect the firms’ mobile social media popularity.

Mobile social media is not only a platform for firms’ image-building but a critical means of acquiring actual customers. The appropriate use of heuristic–systematic cues in a mobile interface is useful for firms to achieve high user popularity despite the challenges derived from the mobile context.

To achieve higher user popularity in the competitive online world, firms should dedicate greater effort in determining the adequate heuristic–systematic cues designed for the interface of their mobile social media account. The effect of popularity can then help the firms acquire more customers.

This study extends the understanding of social exchange in the context of mobile social media accounts and enriches the knowledge on business value of mobile social media popularity. This paper also contributes to the literature by relating heuristic–systematic cues to firms’ mobile social media popularity.

A collection of essays by a social economist seeking to balance economics as a science of means with the values deemed necessary to man′s finding the good life and society enduring as a civilized instrumentality. Looks for authority to great men of the past and to today′s moral philosopher: man is an ethical animal. The 13 essays are: 1. Evolutionary Economics: The End of It All? which challenges the view that Darwinism destroyed belief in a universe of purpose and design; 2. Schmoller′s Political Economy: Its Psychic, Moral and Legal Foundations, which centres on the belief that time‐honoured ethical values prevail in an economy formed by ties of common sentiment, ideas, customs and laws; 3. Adam Smith by Gustav von Schmoller – Schmoller rejects Smith′s natural law and sees him as simply spreading the message of Calvinism; 4. Pierre‐Joseph Proudhon, Socialist – Karl Marx, Communist: A Comparison; 5. Marxism and the Instauration of Man, which raises the question for Marx: is the flowering of the new man in Communist society the ultimate end to the dialectical movement of history?; 6. Ethical Progress and Economic Growth in Western Civilization; 7. Ethical Principles in American Society: An Appraisal; 8. The Ugent Need for a Consensus on Moral Values, which focuses on the real dangers inherent in there being no consensus on moral values; 9. Human Resources and the Good Society – man is not to be treated as an economic resource; man′s moral and material wellbeing is the goal; 10. The Social Economist on the Modern Dilemma: Ethical Dwarfs and Nuclear Giants, which argues that it is imperative to distinguish good from evil and to act accordingly: existentialism, situation ethics and evolutionary ethics savour of nihilism; 11. Ethical Principles: The Economist′s Quandary, which is the difficulty of balancing the claims of disinterested science and of the urge to better the human condition; 12. The Role of Government in the Advancement of Cultural Values, which discusses censorship and the funding of art against the background of the US Helms Amendment; 13. Man at the Crossroads draws earlier themes together; the author makes the case for rejecting determinism and the “operant conditioning” of the Skinner school in favour of the moral progress of autonomous man through adherence to traditional ethical values.

To develop a model that can explain the “government to e‐government” transition process.

Reviews the literature on and practice of e‐government, as well as the related literature of strategic alignment and maturity models for technology adoption. Offers evidence for the model's validity through case‐type material from the web sites of e‐governments worldwide.

Six transition paths can be identified, four of which are more likely to result in effective e‐government transition.

Further work is needed to test the validity of the model. This could involve historical and longitudinal studies of the government to e‐government transition process in different governments around the world.

The transition model should be of value to e‐government strategic planners who are seeking possible transition paths towards the effective development of e‐government.

The paper tackles the little investigated topic of the transition process through which governments must go as they shift from traditional government to e‐government.