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The ‘managed stock’ market in Taiwan is neglected by the authorities and general investors. In this paper, we explore the link between financial trait and stock price changes in this special market.

Overall, we analyze and discuss managerial implications for institutional investors, general investors and the authorities as well.

The purpose of this paper is to integrate Modigliani-Miller (MM) theory and stock repurchases strategy to procure a practical concept for capital decision.

No-arbitrage proof model deduction was used in this study. The authors consider corporate tax and funding sources as two crucial factors drawn in the model. The paper derives some propositions by trichotomy property and keeps the key assumptions of MM Capital Structure Theory.

There are two different effects on firm's value through stock repurchases. The positive effect occurs on firm's value through stock repurchases with loan fund. And the negative impact exists on firm's value through stock repurchases with idle fund.

Notably, in the real world there are three limitations with such an arbitrage transaction (Stulz, 2000). The first one is the default risk, and the second one is transaction costs and the last one is the perfect credit market assumption. In the near future, the authors suggest it would be interesting to involve the interest rate factor and contingent tax variable into our model.

On the basis of no arbitrage opportunity, this paper considers both trichotomy property and MM theory. It proves the share repurchase strategy should be financed by borrowing fund. In contrast, share repurchase should not be executed with idle fund because of opportunity cost.

Zaleha Abdul Shukor is a Senior lecturer in Accounting at the School of Accounting, Universiti kebangsaan Malaysia. She obtained Masters of Commerce from Macquarie Uni, Australia and BSc (Acctg) from Syracuse Univ, NY. She is pursuing her PhD at Universiti Teknologi MARA, Malaysia. Her research interests include, financial reporting and capital market-based research.

This study aims to explore how a buyer's perceived buyer-seller (B-S) guanxi facets (i.e. ganqing, renqing and mianzi) and guanxi positions (i.e. zi-ji-ren, shou-ren and sheng-ren) affect the seller's influence effectiveness (SIE) and purchase intention (PI) in social commerce.

This study conducted an online survey in three cities of Taiwan and collected a total of 364 data. The structural equation modeling and cluster analysis were used to test research hypotheses.

The results indicate that (1) each guanxi facet exerts a different and positive impact on SIE, but only one guanxi facet – renqing – helps improve PI, (2) guanxi facets can be used to predict the buyer's perceived guanxi position toward the seller, (3) the effect of guanxi facets on SIE and PI varies across B-S guanxi positions and (4) the SIE positively mediates effects of guanxi facets on the PI.

This study demonstrates the individual effect of each guanxi facet on SIE and PI and affirms the implicit guanxi position features guanxi facets and determines the buyer's perceived SIE and PI as well. To the best of our knowledge, these findings are rarely proposed in previous research and are beneficial for understanding the guanxi mechanism in social commerce.

On Instagram, a verified badge (a blue checkmark) is used to confirm the authenticity of influencers' accounts for consumers. Yet, it is unclear whether followers trust the badge or are influenced by the influencer's large following. This research aims to investigate the impact of verified badges on followers' trust and behavioral intentions.

This research conducts three experiments to investigate the impact of the verified badge on consumer attitudes and behavioral intentions, recruiting participants from freelance recruiting website in all three experiments.

The results show that a verified badge can sequentially influence consumer trust, attitude and sharing intentions. Furthermore, the impact of the verified badge on trust is more pronounced among micro-influencers as opposed to macro-influencers, and it can mitigate the negative attitude toward commercial postings.

Based on trust transfer theory, this research is a pioneer in investigating the effectiveness of verified badges on social media. These findings contribute to the field of influencer marketing by considering influencers' characteristics and the commercial intent of postings as moderators. Additionally, the results offer managerial insights for developing influencer marketing strategies.

This study aims to propose a methodology by integrating three approaches, namely, internal core technology, external knowledge flow and industrial technology development to help companies improve their decision-making quality for technology planning and enhance their research and development (R&D) portfolio efficiency.

The primary focus of this study is thin-film solar technology and patent data is retrieved from the United States Patent and Trademark Office (USPTO) database. This study presents a methodology based on the proposed integrated analysis method, constructed with patent indicators, centrality analysis of social networks and main path analysis.

The results of this study can be itemized as – the core technological competency: companies involved in two specific technology fields have lower strength in R&D portfolio than leading companies with single-core technology. Knowledge flow: most companies in a network are knowledge producers/absorbers and technological development: diverse source and sink nodes were identified in the global main path during 1997-2003, 2004-2010 and 2011-2017.

Latecomer companies can emulate leaders’ innovation and enhance their technological competence to seek niche technology. Using the global main path, companies monitor outdated technologies that can be replaced by new technologies and aid to plan R&D strategy and implement appropriate strategic decisions avoiding path dependency.

The knowledge accumulation process helps in identifying the change of position and the role of companies; understanding the trend of industrial technology knowledge helps companies to develop new technology and direct strategic decisions. The novelty of this research lies in the integrated approach of three methods aiding industries to find their internal core technical competencies and identify the external position in the competitive market.

The purpose of this paper is to explore how multichannel customers evaluate overall satisfaction across distribution channels and what the antecedents are of such satisfaction.

A survey of bank customers in Taiwan was conducted. The total number of valid questionnaires was 479. Reliability and validity were tested. Maximum likelihood procedure of LISREL 8.8 was used to test the hypothesized structural equation model.

The findings indicate that the overall satisfaction in the multichannel environment is a critical determinant of customer retention and participation. The present study also develops the antecedents of multichannel satisfaction. In the multichannel environment, perceived multichannel service quality is positively related to satisfaction, while perceived channel switching difficulty is negatively related to satisfaction.

The present study employs the stimulus‐organism‐response (S‐O‐R) paradigm and the channel loyalty framework to better model customers' response to marketing activities in the multichannel distribution system.

Showrooming presents a complex and evolving challenge to retail managers, as it signifies the emergence of new forms of exchange rules. The purpose of this research is to investigate how factors responsible for information search and evaluation affect showrooming and also consider the consumer mindset as a moderator.

This research undertakes three experimental designs to investigate how the push (i.e. assortment size), pull (i.e. price discount), and mooring (i.e. sunk cost) factors influence consumers' showrooming intention. Specifically, consumers' maximizing tendency plays the role of moderator.

The results reveal that push, pull, and mooring factors are significantly related to consumers' showrooming intention. Furthermore, the findings show that maximizers have higher showrooming intention than satisficers in the context of the push, pull, and mooring factors.

By integrating the push-pull-mooring framework and the maximizing mindset theory, this research proposes a novel research model and the empirical testing results support six hypotheses. The findings add to the body of knowledge in showrooming behavior by taking consumer mindset into account. The results also provide implications for practitioners to develop their retail strategies.