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Drawing on the conservation of resources (COR) theory, we propose a mediated moderation showing how proactive personality (PP) and job crafting toward interests (JC-interests) influence the relationship between interest incongruence and cyberloafing.

We used a three-wave survey and collected data from 429 full-time employees working in different industries in China.

We found that interest incongruence was positively related to cyberloafing. Furthermore, this positive relationship was more significant when employees were low in PP or engaged in low levels of JC-interests. In addition, the moderating effect of PP was mediated by JC-interests.

These findings are helpful for organizations in figuring out how to mitigate the detrimental effects of interest incongruence by providing more support to proactive employees and implementing various JC interventions.

This study suggests that PP and JC-interests (resource gain strategy) could mitigate the positive effect of interest incongruence on employees’ cyberloafing.

This paper aims to investigate how perpetrators who engage in unethical pro-organizational behavior (UPB) feel and respond in the aftermath of such behavior.

This paper used a two-wave time-lagged design and collected data from 260 full-time employees working in different industries in China.

The results indicated that UPB was negatively and indirectly associated with internal whistle-blowing through shame. Perceived moral leadership weakened the effect of shame on internal whistle-blowing.

Based on affective events theory, this paper explored an integrated behavior-emotion-behavior sequence. This paper proposed that the negative emotion, shame, evoked by UPB subsequently influences the extent to which UPB perpetrators engage in internal whistle-blowing.

This study aims to investigate the impact of technological turbulence on entrepreneurial orientation (EO) in Chinese e-commerce enterprises. It also examines the mediating roles of business ties and political ties, and the moderating effect of transaction uncertainty on these relationships.

A sample of 173 Chinese e-commerce enterprises was analyzed using survey data. Structural equation modeling was employed to test the proposed hypotheses, including the direct effects of technological turbulence on EO, the mediating roles of business and political ties, and the moderating effect of transaction uncertainty.

The results indicate a positive correlation between technological turbulence and EO. Business ties mediate the relationship between technological turbulence and EO, while political ties do not. Transaction uncertainty negatively moderates the relationship between business ties and EO but does not significantly affect the relationship between political ties and EO. Additionally, EO positively impacts market performance.

This study extends the understanding of how external environmental factors, such as technological turbulence, influence EO in the context of Chinese e-commerce. It highlights the differential roles of business and political ties and provides insights into the moderating effects of transaction uncertainty. The findings offer practical implications for e-commerce firms seeking to enhance their entrepreneurial capabilities in turbulent environments.

Online retailers are pioneering the incentivization of customers to generate more product reviews by rewarding them. However, little is known about the impact of reward types on customers' review behavior, including review frequency and sentiment. To address this gap, we investigated the effects of different reward types on customers' review behavior and how these rewards influence customers' review behavior.

We collected secondary data and empirically tested the hypothesis by analyzing the change in reward policy. Regression and two-stage Heckman models were applied to investigate the effects, with the latter used to control potential selection issues.

The results revealed that monetary rewards can stimulate customers to generate more positive product reviews. Furthermore, the reward amount has a negative moderating effect on the aforementioned relationship. Additionally, customer tenure negatively moderates the relationship between monetary rewards and review behavior.

This study contributes to the understanding of user-generated content motivation and provides managerial implications for reward programs.

Considering two types of subsidies for producers (supplier and manufacturer) and one for consumers based on product greenness and sales quantity, this study aims to formulate optimal supply chain green innovation and subsidy strategies, and to achieve this goal with the support of information systems.

This study introduces a composite green-product supply chain where suppliers focus on green innovation for component greenness and manufacturers focus on green innovation for manufacturing process greenness. Game theory modeling is applied to investigate the differences of product greenness, supply chain members’ profit and social welfare under different government subsidy strategies.

Increasing the unit greenness subsidy coefficient can boost product greenness and supply chain members’ profits, but does not always raise social welfare. When the government exclusively offers subsidies to producers, subsidies should be allocated to suppliers when there is a significant disparity in supply chain green innovation costs. Conversely, it is more beneficial to subsidize manufacturers. Consumer subsidies have the potential to enhance both environmental and economic performance in the supply chain compared with producer-exclusive subsidies, but may not always maximize social welfare when supply chain members have low unit costs associated with green innovation.

This study examines the optimal decisions for green supply chain innovation and government subsidy strategies. Supply chain members and the government can use the information system to collect and evaluate the cost of upstream and downstream green innovation, and then develop reasonable collaborative green innovation and subsidy strategies.

The main goal of this paper is to present a synthetic multiple criteria group decision-making (MCGDM) methodology for assessing the enterprise digital maturity with linear Diophantine fuzzy (LDF) setting.

This paper utilizes the presented LDF generalized Dombi operator to aggregate assessment information of experts. The developed combined weight model through merging the rank sum (RS) model and symmetry point of criterion (SPC) method is used to ascertain the comprehensive importance of criterion. The evaluation based on distance from average solution (EDAS) approach based upon regret theory (RT) is presented to achieve the sorting of candidate enterprises.

Firstly, the proposed method has strong stability. Secondly, the proposed method takes into consideration the psychological behavior of experts during the decision-making process which further enhances the rationality of the decision results. Finally, the proposed method integrates expert and criterion weight determination models which provides a practical evaluation framework for assessing the digital maturity of enterprises. The research outcomes confirm that the proposed approach fails to resolve the decision problems with unknown weight information flexibly, but also reflect the psychological behavior of expert in decision process. The presented weight approach also provides a rational algorithm to ascertain the weight more accurate.

A composite LDF group decision-making approach is presented by aggregating the proposed generalized Dombi operator, combined weight model and the EDAS model, which make the outcome more reasonable. Sensitivity analysis and comparison study are conducted to reflect the superiority of the proposed approach.

Drawing from the resource-based view (RBV), this study aims to develop a parsimonious model in the context of digital platforms that links strategic network resources (SNR) and firm performance through considering dynamic capabilities (DC) as important mediating mechanisms. In addition, we also investigate how platform monitoring shapes the relationship between SNR and DC.

This study uses the survey data from 162 firms in eastern China.

The findings indicate that both two DC dimensions (i.e., sensing and reconfiguring) significantly mediate the relationship of SNR-performance. Moreover, platform monitoring positively moderates the relationship of SNR and sensing as well as SNR and reconfiguring.

With these findings, this study advances SNR and digital platform research and provides insights into how to transform SNR into superior performance through DC.

This study aims to integrate the concepts of digital transformation, innovation strategy, and competitive advantage, into a novel research model in an effort to identify a more competitive path for digital transformation within manufacturing enterprises.

The research model was tested through multivariate hierarchical regression analyses, and Hayes’ PROCESS for SPSS, utilizing survey data collected from 183 manufacturing enterprises in China.

The results indicate that, in comparison to research and development (R&D) and production, digital transformation in service and organizational activities exert a more significant impact on competitive advantage. Conversely, digital transformation in sales does not exhibit a significant impact on competitive advantage. Furthermore, in contrast to exploratory innovation and ambidexterity, exploitative innovation has a more pronounced influence on digital transformation. Additionally, digital transformation has been confirmed as a mediator in the relationship between innovation strategy and competitive advantage.

These findings expand our comprehension of digital transformation as an evolving process and shed light on the relationship between digital transformation and competitive advantage across various value-creating activities. This research serves as a valuable resource for decision-makers in selecting the most suitable path for digital transformation and configuring innovative resources.

Using conservation of resources and self-determination theories, this study explores the negative ties between proactive career behaviour and job insecurity, which are mediated by work-related basic needs satisfaction, and how contract type affects these relationships.

Two waves of data were collected from 332 Chinese employees. The mediation and moderated mediation models were tested with MPLUS 8.30 and SPSS’s PROCESS macro.

Proactive career behaviour negatively affects (both quantitatively and qualitatively) job insecurity through work-related basic needs satisfaction. Contract type moderates the relationship between proactive career behaviour and work-related basic needs satisfaction as well as the indirect relationship between proactive career behaviour and quantitative (but not qualitative) job insecurity via work-related basic needs satisfaction. These findings suggest that temporary employees can obtain greater benefits by engaging in proactive career behaviour than can their permanent counterparts.

This study contributes to the limited research on job insecurity antecedents, mechanisms and key moderators.

This study aims to review and synthesize the burgeoning field of auditing research utilizing Chinese data. Over the past decades, there has been a remarkable rise in such research, driven by China’s abundant audit data, distinctive institutional features and enduring cultural influences. The purpose is to comprehensively review auditing studies featured in top-tier accounting journals, shedding light on the unique contributions made possible by Chinese data. By identifying key themes across domains, this paper aims to underscore the cultural and contextual disparities between China and Western countries, predominantly the USA, within the area of auditing.

This study presents a systematic review of China-themed auditing research, primarily published in seven leading global accounting journals. The researchers conducted a comprehensive search of the websites of these journals, identifying relevant articles using search terms such as “China auditing,” “Chinese Stock Market and Accounting Research (CSMAR),” “institutional environment,” and “internal control.” After the initial search, 54 relevant articles were selected and reviewed. The study covers all China-specific auditing research, categorizing key themes into six areas to explore how scholars use Chinese data to address important auditing questions.

The findings reveal a significant increase in auditing research utilizing Chinese data, prominently featured in top-tier academic journals. This study categorizes six central themes, highlighting the broad range of topics explored using Chinese audit data. More importantly, the research identifies substantial cultural and contextual differences between China and Western nations, particularly the USA, that influence the auditing profession and markets. Exploring these themes underscores the invaluable insights derived from Chinese data, shedding light on areas not previously addressed by studies relying solely on Western datasets.

The value of this study lies in its comprehensive examination of seminal auditing studies using Chinese data, making a distinctive contribution to the auditing literature. This paper highlights the inadequacies of Western datasets in addressing certain auditing questions and emphasizes the unique advantages offered by China’s extensive public audit data, institutional characteristics and cultural determinants. The identified gap in the literature underscores the unexplored opportunities for further research in the Chinese auditing context. This study, therefore, provides a roadmap for future scholars, encouraging the exploration of new avenues and fostering a deeper understanding of the cultural nuances influencing auditing practices in China.