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Alert global firms that China plans to become an incubator for top companies rather than simply a low‐cost manufacturing base.

Outline the strategies for MNCs to penetrate China's expanding market and defend their global position.

MNCs have figured out the six keys to success: differentiate your products, bring production costs down in line with local cost structures, design offerings for local tastes, create smart partnerships, develop close government relationships and hire strong, “China‐fluent” management, both local and expatriate.

Actions for MNCs to take: Develop Chinese toehold operations into self‐standing and profitable units. Dramatically reset the standards for cost competitiveness. Protect the value segments in your core markets. Treat human resource management as a strategic global function. Accelerate and globalize R&D. Ensure that each business is delivering what it promises to core customers.

Assesses the strategic strengths and weakness of MNCs and potential Chinese rivals.

This article presents the results of a survey of 202 male Taiwanese consumers. In this study, consumer judgements of two technological products varying in their level of complexity made in highly, moderately, and newly industrialised countries were obtained in a multi‐attribute context. The results show that the country‐of‐origin image of moderately and newly industrialised countries was less negative for technologically simpler products (i.e. a television) than they were for technologically complex products (i.e. a computer). It appears that the negative image of moderately and newly industrialised countries can be attenuated by making Taiwanese consumers more familiar with products made in these countries and/or by providing them with other product‐related information such as brand name and warranty. Newly industrialised countries were perceived more negatively as countries of design than as countries of assembly, especially in the context of making technologically complex products. The image of foreign countries as producers of consumer goods was positively correlated with education. The more familiar consumers were with the products of a country, the more favourable was their evaluation of that country. Consumer involvement with purchasing a technologically complex product such as a computer was positively associated with the appreciation of products made in moderately industrialised countries. Managerial and research implications are derived from these results.

Accurate prediction of order demand across omni-channel supply chains improves the management's decision-making ability at strategic, tactical and operational levels. The paper aims to develop a predictive methodology for forecasting near-real-time e-commerce order arrivals in distribution centres, allowing third-party logistics service providers to manage the hour-to-hour fast-changing arrival rates of e-commerce orders better.

The paper proposes a novel machine learning predictive methodology through the integration of the time series data characteristics into the development of an adaptive neuro-fuzzy inference system. A four-stage implementation framework is developed for enabling practitioners to apply the proposed model.

A structured model evaluation framework is constructed for cross-validation of model performance. With the aid of an illustrative case study, forecasting evaluation reveals a high level of accuracy of the proposed machine learning approach in forecasting the arrivals of real e-commerce orders in three different retailers at three-hour intervals.

Results from the case study suggest that real-time prediction of individual retailer's e-order arrival is crucial in order to maximize the value of e-order arrival prediction for daily operational decision-making.

Earlier researchers examined supply chain demand, forecasting problem in a broader scope, particularly in dealing with the bullwhip effect. Prediction of real-time, hourly based order arrivals has been lacking. The paper fills this research gap by presenting a novel data-driven predictive methodology.

The purpose of this paper is to analyze the strategies employed by the pro-Beijing and pro-democracy camps in the proportional representation system which was used to universally elect a half of the seats in the Legislative Council (LegCo) of Hong Kong before 2019. It provides the consequences of proportional representation over the political sphere development after the handover.

This research is based on the past election results and the interviews conducted with 18 LegCo members in 2018.

This paper examines how the political parties split their lists in order to win more seats with the past electoral outcomes. Coupled with firsthand materials from interviews with the legislators, the most significant part of this article analyzes why the pro-Beijing camp performed better than the pro-democracy camp. It supplements the gap of current literature from the perspective of campaign strategies. This article also points out the Chinese authorities' miscalculation in the 1990s which resulted in the unintentional creation of fragmented politics and filibusters before 2019.

This examines the development of campaign strategies of the pro-Beijing and pro-democracy camps, and it explains how the proportional representation caused the fragmented politics in Hong Kong.

This study aims to identify the impact of ethical leadership on ethical voice by determining two paths covering relational identification and psychological safety. The first path focused on relational identification and psychological safety. Alternatively, the second path focused on organizational identification and psychological ownership leading to ethical voice. The specific objective of the study is to develop and test an integrated model of ethical leadership.

The objectives were achieved through the adoption of quantitative research techniques. Two hundred forty-eight samples were collected from the banking sector using quantitative research techniques, and data was gathered through a self-administrated questionnaire. Exploratory and confirmatory factor analyses were used through AMOS to generate the results and test hypotheses.

The results suggested a significant impact of ethical leadership on ethical voice, while the other paths’ results, such as relational identification, psychological safety, organizational identification and psychological ownership, suggested partial mediation. The study result adds new insights into ethical leadership and social exchange theory since it tested overlooked paths in the literature, such as relational identification and psychological safety.

The research highlights the significance of ethical voice as a desirable organizational behavior. Ethical voice contributes to a culture of accountability, transparency and ethical decision-making. Organizations should establish channels and platforms for employees to voice ethical concerns and suggestions. This may involve regular feedback sessions, anonymous reporting mechanisms and protection policies for whistleblowers. Leaders should actively encourage and value ethical voices as a valuable contribution to the ethical climate of the organization.

The study found that ethical leaders influence their followers in such a way that they adopt ethical behavior. It is also validated that organizational ethics are shared by employees who interact with ethical leaders. So, departments should train such leaders because ethical leadership positively affects followers’ attitudes and behaviors, and organizations should encourage ethical behavior in supervisors and subordinates. The study also found that relational and organizational identification helps employees develop psychological capabilities, which leads to reporting workplace misconduct. The current study tested these mechanisms collectively and found that ethical leadership significantly contributes to ethical voice.

The current study highlighted the role of ethical leaders in promoting ethical behavior, improving employee well-being and engagement, cultivating collaboration and inclusion, and making a contribution to the overall ethical climate within organizations and society as a whole. Organizations can have a positive impact on the social fabric by cultivating a culture of ethics, respect and social responsibility if they make these considerations their top priorities.

The current study is unique since it is intended to develop and test an integrated model of ethical leadership and ethical voice. This research combines an integrated model, focusing on employees’ identities and self-concepts and examining ethical voice as a behavioral outcome.

The purpose of the study is to explore the association of disclosures for the performance of banks in India.

Panel data analysis (utilising static and dynamic models) is applied on the data of 34 Indian banks (for time-frame 2015–2019) to explore the association of disclosures (as transparency and disclosure index) with the performance of banks (as profitability, risk-taking and technical efficiency (TE)). The regulation, competition and ownership concentration variables are taken as control variables.

None of the banks' performance measures applied in the study is significantly associated with the disclosures. This situation implies that disclosures do not impact the performance of the banks in India. The reason is that disclosures and performance are two different activities that aim at different purposes.

This study does not provide output for the association between disclosures and the value of the banks and confines itself to explore the association between disclosures and performance of the banks only. This limitation can be the future scope of the study.

There is no other study that solely focuses on exploring the association of disclosures with the performance of the banks. Disclosure has more significant importance in banks because of the inherent nature of opaqueness in banking operations. Therefore, the current study's findings have substantial implications for policymakers, managers and investors of the banks.

This paper aims to examine the impact of metaverse experiences on customers’ offline behavioral intentions: How do customers’ visits to a hospitality business’s virtual property in the metaverse affect their intentions to visit the physical property in the real world?

Based on the general learning model and social cognitive theory, this research hypothesizes the positive impact of metaverse experiences on customers’ visit intentions and explores two boundary conditions for positive impact: user–avatar resemblance and servicescape similarity. Two experimental studies were conducted.

Metaverse experience has a significant impact on customers’ visit intentions, and this impact is moderated by user–avatar resemblance and servicescape similarity.

This research addresses the call for empirical studies regarding the effects of metaverse experience on people’s behavioral intentions.

As one of the earliest empirical studies on the marketing effects of the metaverse, this research provides a basis for future metaverse studies in the hospitality field.

The purpose of this paper is to empirically investigate the impact of two monitoring mechanisms: family ownership (FO) and financial reporting quality (FRQ) on investment efficiency (IE) over the period of 2007–2014 for listed firms on the Pakistan Stock Exchange.

The authors employ two-dimensional pooled OLS cluster at the firm and year level, two-stage least square regression and feasible generalized lease square regression regression methods.

The findings suggest that higher FRQ and FO are associated with higher IE. Further, the authors report that higher FRQ and FO mitigate over- and under-investment. The impact of FRQ on IE is stronger (weaker) for family-controlled businesses. The results for these particular estimates are robust for alternative estimation techniques and measures of FRQ and FO.

The study draws on both agency and behavioral agency theories and therefore contributes to the literature in the following ways. First, the authors examine a relationship between FRQ and IE. Second, the authors test the impact of FO on IE. Third, the authors test the moderating impact of FO on the relationship between FRQ and the IE of family and non-family firms in relatively less regulated emerging market.