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This study aims to suggest that firms and stock market investors are more sensitive about inventory leanness when industry information technology (IT) usage is high. First, when industry IT usage is high, a firm's inventory leanness is more responsive to information inputs (cash holding and sales efficiency). Second, when industry IT usage is high, the price-to-earnings ratio (indicative of stock market investors' willingness to pay a premium) is more sensitive to the firm's inventory leanness.

This study highlights the contextual role of industry IT usage during the 1998–2009 lost decade (wherein the steepest falls in manufacturing jobs happened in the USA).

The results highlight the significant contextual role of industry IT usage. In manufacturing industry sectors with high IT usage, (1) inventory levels of firms are more responsive to information inputs and (2) stock market investors have greater appreciation for inventory leanness.

The lost decade, 1998–2009, was a difficult period for the manufacturing industry. Nonetheless, there was variation in stock market valuations of manufacturing firms, with many firms outperforming others. Stock market investors were sensitive to inventory leanness. Firms that positively impressed stock market investors were strategically positioned in high IT usage industry sectors and prioritized inventory leanness. Further, their inventories were sensitive to information inputs – their inventories were leaner in response to improved sales-efficiency and/or shortage in cash.

New venture status is the most prominent feature of entrepreneurial startups, but its performance implications have remained under-studied. This study aims to bridge this knowledge void and offer precise guidelines for startup managers in boosting performance.

The study develops and tests a multi-perspective model on the linkage between new venture status and firm performance by integrating I/O economics, resource-based view and dynamic capability perspective. The arguments from the first two perspectives point to an adverse effect of new venture status, which is contingent, respectively, on business differentiation and resource endowments. The third perspective grounds a positive relationship between new venture status and performance, which is more pronounced for firms with weaker dynamic capabilities.

Quantitative evidence from a sample of new and established firms in China shows that the direct effect of new venture status is negative but insignificant. Neither business differentiation nor dynamic capabilities moderate the relationship. Low resource endowments, however, reinforce the negative influence of new venture status. New venture status, thus, shapes firm performance through resource scarcity from resource-based view rather than competitive vulnerability from I/O economics or strategic flexibility from dynamic capability perspective.

Newness and new venture performance have both been extensively examined in literature. But the relationship between them has remained largely omitted. The multi-perspective model and the findings in this study help clarify the confusion as to whether newness is good or bad in the context of an emerging market and reveals the subtle mechanism the effect of newness unfolds.

The subject of “well-being” has attracted attention from tourism scholars, but differences and misuses in approach have meant that academic contributions and knowledge accumulation to the tourism literature remain relatively little. This paper attempts to clarify the theoretical source of subjective well-being, and critically reflect on the problems existing in the study of well-being when applied to tourism. It is suggested that subjective well-being belongs to the category of “quality of life” and has multiple philosophical foundations and theoretical sources including theories of hedonism, expectation, happiness and various itemised lists of emotions. A hybrid research method is suggested when applying the concept to tourism.

Good market timing skills can be an important factor contributing to hedge funds’ outperformance. In this chapter, we use a unique semiparametric panel data model capable of providing consistent short period estimates of the return correlations with three market factors for a sample of Long/Short equity hedge funds. We find evidence of significant market timing ability by fund managers around market crisis periods. Studying the behavior of individual fund managers, we show that at the 10% significance level, 17.12% of funds exhibit good linear timing skills and 21.32% of funds possess some level of good nonlinear market timing skills. Further, we find that market timing strategies of hedge funds are different in good and bad markets, and that a significant number of managers behave more conservatively when the market return is expected to be far above average and more aggressively when the market return is expected to be far below average. We find that good market timers are also likely to possess good stock selection skills.

The purpose of this study is to explore, understand and investigate the relationship between national culture and knowledge management (KM) process.

This study is based on systematically and objectively capturing the contents of extant research papers published by researchers in this area by using the literature review methodology.

The study demonstrates significant relationship between national culture and KM process. Further, it also provides directions for future research.

The study will help top management to understand and appreciate the impact of national culture on KM process in organization, where people from different nations are working together. The management may apply appropriate organizational interventions to manage people of different national cultures in effective manner and effective utilization of knowledge of the organization through KM process. This paper will be considered as a quick reference and resource for anyone interested in this area.

This study is a comprehensive literature review of influence of national culture on KM process. Further, it also sets the research agenda for future researchers.

The purpose of this study is to investigate consumers' emotional responses to artificial intelligence (AI) defeating people. Meanwhile, the authors investigate the negative spillover effect of AI defeating people on consumers' attitudes toward AI companies. The authors also try to alleviate this spillover effect.

Using four studies to test the hypotheses. In Study 1, the authors use the fine-tuned Bidirectional Encoder Representations from the Transformers algorithm to run a sentiment analysis to investigate how AI defeating people influences consumers' emotions. In Studies 2 to 4, the authors test the effect of AI defeating people on consumers' attitudes, the mediating effect of negative emotions and the moderating effect of different intentions.

The authors find that AI defeating people increases consumers' negative emotions. In terms of downstream consequences, AI defeating people induces a spillover effect on consumers' unfavorable attitudes toward AI companies. Emphasizing the intention of helping people can effectively mitigate this negative spillover effect.

The authors' findings remind governments, policymakers and AI companies to pay attention to the negative effect of AI defeating people and take reasonable steps to alleviate this negative effect. The authors help consumers rationally understand this phenomenon and correctly control and reduce unnecessary negative emotions in the AI era.

This paper is the first study to examine the adverse effects of AI defeating humans. The authors contribute to research on the dark side of AI, the outcomes of competition matches and the method to analyze emotions in user-generated content (UGC).

The world of business is being profoundly transformed by the Internet and electronic commerce. The rapid advancement of Internet technology and its applications holds promise for the expansion of business opportunities in the global digital economy. Internet systems support a world‐wide broadcasting capability, a mechanism for information dissemination and a medium for electronic commerce between organizations and customers across countries. Describes research that leads to the derivation of a diffusion model of Internet systems, comprising four key dimensions: external market factors, external technical factors, internal organization factors, and internal systems factors. The intention is for this model to provide a theoretical base for further research on electronic commerce and Internet technology diffusion.

While many studies have predominantly looked at the benefits and risks of cloud computing, little is known whether and to what extent institutional forces play a role in cloud computing adoption. The purpose of this paper is to explore the role of institutional factors in top management team’s (TMT’s) decision to adopt cloud computing services.

A model is developed and tested with data from an Australian survey using the partial least squares modeling technique.

The results suggest that mimetic and coercive pressures influence TMT’s beliefs in the benefits of cloud computing. The results also show that TMT’s beliefs drive TMT’s participation, which in turn affects the intention to increase the adoption of cloud computing solutions.

Future studies could incorporate the influences of local actors who might also press for innovation.

Given the influence of institutional forces and the plethora of cloud-based solutions on the market, it is recommended that TMTs exercise a high degree of caution when deciding for the types of applications to be outsourced as organizational requirements in terms of performance and security will differ.

The paper contributes to the growing empirical literature on cloud computing adoption and offers the institutional framework as an alternative lens with which to interpret cloud-based information technology outsourcing.