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New product development (NPD) is essential for the growth and success of firms facing intense competition. The pathways through which competitive intensity affects NPD have not been adequately examined. This study addresses the gaps by developing a research model investigating the relationships between competitive intensity, knowledge integration, organizational unlearning, and NPD outcomes (innovativeness and speed) and the contingency effect of firm size. Survey data from 242 Chinese firms reveal that competitive intensity is positively associated with knowledge integration and organizational unlearning, and these relationships are moderated by firm size. Firm size strengthens the competitive intensity and knowledge integration relationship and weakens the competitive intensity and organizational unlearning relationship. Comparing the relative effects of knowledge integration and organizational unlearning on NPD outcomes shows that knowledge integration has a stronger relationship with NPD speed than with NPD innovativeness. Organizational unlearning has a stronger relationship with NPD innovativeness than with NPD speed.

Corruption involves greed, money, and risky decision-making. We explore the love of money, pay satisfaction, probability of risk, and dishonesty across cultures. Avaricious monetary aspiration breeds unethicality. Prospect theory frames decisions in the gains-losses domain and high-low probability. Pay dissatisfaction (in the losses domain) incites dishonesty in the name of justice at the individual level. The Corruption Perceptions Index, CPI, signals a high-low probability of getting caught for dishonesty at the country level. We theorize that decision-makers adopt avaricious love-of-money aspiration as a lens and frame dishonesty in the gains-losses domain (pay satisfaction-dissatisfaction, Level 1) and high-low probability (CPI, Level 2) to maximize expected utility and ultimate serenity. We challenge the myth: Pay satisfaction mitigates dishonesty across nations consistently. Based on 6500 managers in 32 countries, our cross-level three-dimensional visualization offers the following discoveries. Under high aspiration conditions, pay dissatisfaction excites the highest- (third-highest) avaricious justice-seeking dishonesty in high (medium) CPI nations, supporting the certainty effect. However, pay satisfaction provokes the second-highest avaricious opportunity-seizing dishonesty in low CPI entities, sustaining the possibility effect-maximizing expected utility. Under low aspiration conditions, high pay satisfaction consistently leads to low dishonesty, demonstrating risk aversion-achieving ultimate serenity. We expand prospect theory from a micro and individual-level theory to a cross-level theory of monetary wisdom across 32 nations. We enhance the S-shaped Curve to three 3-D corruption surfaces across three levels of the global economic pyramid, providing novel insights into behavioral economics, business ethics, the environment, and responsibility. WOS:000951258300001

Based on the knowledge-based view and relational view, we develop a research model to explore how a firm’s knowledge structure attributes (i.e. breadth, depth) are associated with its intention to share knowledge, as well as the moderating effects of two relational factors (strategic consensus and bilateral specific asset investments) on these relationships in interfirm cooperation. Hierarchical regression analyses are conducted to test the research model based on the data collected from 270 manufacturing firms in China. The results suggest that knowledge breadth and depth affect knowledge sharing intention in opposite directions. Specifically, firms with a broad knowledge base are more likely to share their knowledge in interfirm cooperation, whereas firms with deep knowledge are reluctant to share. More importantly, the empirical results suggest that both strategic consensus and bilateral specific asset investments positively moderate the relationships between knowledge structure attributes and knowledge sharing intention, implying that both mechanisms can improve the efficiency and effectiveness of knowledge sharing and consequently, affect senders’ intention to share their knowledge.

Radical innovation has significant impact on organizations. To develop radical innovation, firms need to change or discard their obsolete routines, beliefs, and knowledge, since radical innovation represents a clear departure from existing practices. Based on the organizational unlearning literature and contingency theory, the authors explore three issues: (1) the relationship between organizational unlearning and radical innovation; (2) two antecedents to organizational unlearning (environmental turbulence and entrepreneurial orientation); and (3) how firm size moderates the relationships between the antecedents and organizational unlearning. Survey data from 238 manufacturing firms in China indicated that both environmental turbulence and entrepreneurial orientation (EO) are positively related to organizational unlearning. Firm size plays a dual role, weakening the positive environmental turbulence−organizational unlearning relationship while strengthening the positive EO − organizational unlearning relationship. Further, organizational unlearning is found to be a critical driver of radical innovation.

The UN COP26 2021 conference on climate change offers the chance for world leaders to take action and make urgent and meaningful commitments to reducing emissions and limit global temperatures to 1.5 °C above pre-industrial levels by 2050. Whilst the political aspects and subsequent ramifications of these fundamental and critical decisions cannot be underestimated, there exists a technical perspective where digital and IS technology has a role to play in the monitoring of potential solutions, but also an integral element of climate change solutions. We explore these aspects in this editorial article, offering a comprehensive opinion based insight to a multitude of diverse viewpoints that look at the many challenges through a technology lens. It is widely recognized that technology in all its forms, is an important and integral element of the solution, but industry and wider society also view technology as being part of the problem. Increasingly, researchers are referencing the importance of responsible digitalization to eliminate the significant levels of e-waste. The reality is that technology is an integral component of the global efforts to get to net zero, however, its adoption requires pragmatic tradeoffs as we transition from current behaviors to a more climate friendly society. publishedVersion

As e–government websites grow in functionalities and capabilities, there is a need to better understand the nuanced role of service quality to enable governments to better address citizens’ online service needs. Such an understanding should help improve overall e–government use by citizens. Thus motivated, our paper investigates how users respond to the service quality perception–expectation gap in e–government websites. We draw on rational choice theory (RCT) to develop a theoretical model linking expected and perceived information systems (IS) service quality to continued e–government website use intentions. The proposed model is empirically tested using polynomial modeling and response surface analysis. The results indicate that, in contrast to the organizational context, for e–government websites, both agreement and disagreement between expected and perceived IS service quality are positively associated with continued use intention. In our sample, as high as 77 percent of respondents appear to be in the zone of tolerance, suggesting that users can tolerate wide variations in service quality before they consider seeking alternatives to e–government websites.

PurposeCitizen satisfaction with the government is a longstanding and continuous concern in public administration. However, past research did not investigate the effect on satisfaction with the government in the context of mobile government (m-government). The purpose of this paper is to evaluate how the social benefits of citizens using m-government affect their satisfaction with the government.Design/methodology/approachGrounded in the uses and gratifications theory (UGT), the authors suggest that the satisfaction in m-government should be constructed in terms of the satisfaction with m-government and the satisfaction with the government. The research model of citizen satisfaction in the context of m-government is tested through partial least squares (PLS) (SmartPLS 2.0) based on data collected from a survey study in China.FindingsThe results indicate that the three important social benefits, e.g. convenience, transparency and participation, are positively associated with process gratification, whereas only convenience is positively associated with content gratification. The results suggest that both process gratification and content gratification are positively associated with citizen satisfaction with the government. Furthermore, the research suggests that process and content gratification have a mediating role, whereas compatibility has a moderating role.Practical implicationsThis research provides insights to practitioners on how to facilitate citizen satisfaction by increasing citizens’ social benefits and improving process and content gratification.Originality/valueThis study contributes to the literature by offering a framework for analyzing the impact of citizens’ use of m-government on their satisfaction with the government. The work also contributes to UGT by categorizing user gratifications into process gratifications, content gratifications and citizen satisfaction with the government.

Despite significant theoretical and empirical attention on public value creation in the public sector, the relationship between artificial intelligence (AI) use and value creation from the citizen perspective remains poorly understood. We ground our study in Moore’s public value management to examine the relationship between AI use and value creation. We conceptually categorize public service value into public value and private value. We use procedural justice and trust in government as indicators of public value and, based on motivation theory, we use perceived usefulness and perceived enjoyment as indicators of private value. A field survey of 492 AI voice robot users in China was conducted to test our model. The results indicated that the effective use of AI voice robots was significantly associated with private value and procedural justice. However, the relationship between the effective use of AI and trust in government was not found to be significant. Surprisingly, the respondents indicated that private value had a greater effect on overall value creation than public value. This contrasts with the common idea that value creation from the government perspective suggests that social objectives requiring public value are more important to citizens. The results also show that gender and citizens with different experiences show different AI usage behaviors.

By drawing on psychological contract theory, this study examined the effects of the dark triad of personality traits (Machiavellianism, narcissism, and psychopathy) on knowledge hiding within organizations. We obtained 251 matched-pair data from respondents in a manufacturing company. Results showed that all three dimensions of the dark triad were positively related to knowledge hiding through transactional psychological contract. Different dimensions of the dark triad were most strongly related to different knowledge hiding strategies. Furthermore, gender moderated the relationships between narcissism and psychopathy with transactional psychological contract. The indirect relationships between narcissism and psychopathy with knowledge hiding via transactional psychological contract were stronger for men than women.

E-learning has the potential to transform public education. Based on a theoretical framework that integrates effectiveness and social legitimacy perspectives, this paper examines e-learning implementation in South Korea, and attributes its success to policies and efforts that address and manage both e-learning technology’s effectiveness and its social legitimacy. The effectiveness of e-learning is enhanced by building efficient e-learning infrastructure, and making continuous standardization efforts, while social legitimacy is gained by establishing a sound regulatory system, applying a socially appropriate online pedagogy, raising public awareness, and building e-learning communities. The results offer valuable lessons for other countries that intend to implement e-learning in the educational sector.

Global climate change caused by carbon emissions poses a severe challenge to human economic and social development. The Chinese government has committed to a series of emission reduction initiatives to achieve carbon intensity targets by actively promoting the green transformation of the industrial sector—the main source of energy consumption and environmental pollution. This transformation has been ongoing for more than five years, and the effects, problems and experiences are worth discussing. Therefore, using province-level panel data for China's industry from 2010 to 2015, we systematically analyze the regional structure and developmental trend of industrial green transformation and empirically investigate its dynamic threshold effects on carbon intensity under different degrees of environmental regulation. The results show that China's industry has gradually undergone a green transformation, which has significantly reduced pollution emissions. However, the process has a large developmental scope due to regional heterogeneity and fluctuation characteristics. Interestingly, the impact of the industrial green transformation on carbon intensity is limited by the "critical mass" of environmental regulations. Paradoxically, weak environmental regulation significantly facilitates a decrease in carbon intensity through industrial green transformation. Once environmental regulation surpasses a critical level, the role of this transformation in CO2 reduction is weakened, resulting in a failure to decrease carbon intensity. We provide insights into the driving factors that reduce carbon intensity and improve our understanding of the driving forces, paths and policy designs needed to successfully reach carbon intensity targets.

This study introduces the concept of outsourcing appropriation based on adaptive structuration theory (AST) to explore how organizations attain IT-dependent organizational agility through outsourcing appropriation. It examines the mediating role of IT alignment and the moderating roles of the adoption of cloud computing and knowledge transfer. The proposed model was tested using survey data from a sample of 170 IT executives. Our results indicate that the consensus of appropriation (COA) and faithfulness of appropriation (FOA) are positively associated with IT-dependent organizational agility, and the relationships are partially mediated by IT alignment. When adoption of cloud computing is high, the positive relationship between IT alignment and IT-dependent organizational agility becomes stronger than when it is low. Interestingly, results also show that the moderating roles of the transfer of explicit knowledge and transfer of tacit knowledge in the relationship between outsourcing appropriation and IT-dependent organizational agility vary significantly. The transfer of explicit knowledge negatively moderates the relationship between COA and agility. The transfer of tacit knowledge positively moderates the relationship between FOA and agility. These findings deepen our understanding of how organizations gain IT-dependent organizational agility in the context of IT outsourcing.

A multiple-mediation model of e-government maturity is proposed.TOE contextual factors has direct relationships with e-government maturity.E-participation mediates TOE contextual factorse-government maturity relationships.The proposed model is tested using archival data from 183 countries.Findings contribute e-government literature, and provide indications for practice. Utilizing the Technology-Organization-Environment (TOE) theory and the literature on citizen engagement, we formulated a multiple-mediation model examining (1) the TOE contextual factors affecting governments willingness to implement electronic participation (e-participation) in form of e-information sharing, e-consultation, and e-decision-making in a country and its electronic government (e-government) maturity; and (2) the mediating role of governments willingness to implement e-participation in a country on the relationships between its TOE contextual factors and e-government maturity. Specifically, we hypothesized that information and communication technology (ICT) infrastructure (representing the Technology context), governance (representing the Organization context), and human capital (representing the Environment context) has both direct and indirect relationships with e-government maturity through the mediating roles of governments willingness to implement e-participation. Based on archival data from 183 countries, results showed that while ICT infrastructure and human capital were positively associated with governments willingness to implement e-participation and e-government maturity, governance was not significantly associated with them. Also, governments willingness to implement e-participation had significant associations with its e-government maturity. Specifically, of three dimensions of e-participation, governments willingness to implement e-information sharing and e-decision-making were positively associated with e-government maturity, and its willingness to implement e-consultation was negatively associated. Further, governments willingness to implement e-information sharing, e-consultation, and e-decision-making partially mediated the influences of ICT infrastructure and human capital on e-government maturity. Results also indicated that the relationship of governance with e-government maturity was not mediated by governments willingness to implement e-participation. Findings contribute to the theoretical discourse on e-government by highlighting the roles of the TOE contextual factors on governments willingness to implement e-participation and e-government maturity, and provide indications for practice in managing e-government maturity by (1) enhancing governments willingness to implement appropriate e-participation dimensions; and (2) leveraging the effects of the TOE contextual factors on governments willingness to implement e-participation and e-government maturity.

Despite the growing acceptance of business analytics (BA) as a tool for making smarter business decisions, past research has rarely investigated shareholder reactions to BA announcements. We use signaling theory and resource-based theory (RBT) as our theoretical lens. The results show that BA announcements generate positive abnormal returns, thereby providing empirical evidence that shareholders view BA as beneficial. The results also suggest that characteristics that are more salient to shareholders are rewarded. Specifically, firms implementing BA systems from market-leading vendors obtain more positive stock market reactions compared with other firms. Announcements convey more benefits to overbought stocks than oversold stocks, and generate higher positive return in firms with high sales growth and high return on assets (ROA). Overall, empirical evidence favors signaling theory over RBT.