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With the popularity of paid apps and increasing concerns about privacy hazards, this paper aims to investigate the impact of mobile services’ fee-charging models on consumers’ privacy concerns, and generate insights for app developers’ fee-charging strategies.

Three experimental studies including 550 participants were conducted. All studies were between-subjects designs and based on the context of financial mobile services. The implementations of fee-charging models were manipulated by both visualized and test-based stimuli.

The results reveal that consumers are less concerned about potential privacy violations when using subscription-based (vs. purchase-based) financial mobile services (study 1). This effect is mediated by consumers’ perceptions that app developers that charge subscription fees (vs. one-off prices) are more likely to be consumer-serving motivated (study 2 and 3).

This paper advances the current understanding of consumer response toward paid apps, by proposing and testing a novel attribution-based mechanism to explain why the implementation of a subscription-based versus purchase-based fee-charging model can result in more favorable consumer reactions. Furthermore, this paper identifies the implementation of contrasting fee-charging models as a market-related factor that affects the extent to which consumers are concerned about potential privacy violations, extending extant literature on consumer privacy concern.

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).

It is globally recognized that food waste has significant economic, social and environmental impacts. This study endeavors to identify the individuals' underlying factors that affect food waste behavior in a social context in Egypt.

Due to the scarcity of research illustrating food waste in a social context, a qualitative research paradigm is employed. In-depth semi-structured interviews are conducted with 18 Egyptian households to report their experiences, thoughts and feelings while eating in a social context.

Based on thematic analysis using grounded theory procedures, eight main elements affecting creation and reduction of food waste in social contexts are identified. Additionally, the authors investigate the role of emotions in social dining contexts. A key finding is that food waste in social events is inevitable and is the acceptable norm in the Egyptian culture. Thus, the first step to reduce food waste is paying more attention to change culture. Persuading people with the negative consequences of food waste issue on behalf of their cultural values will be more challenging and may require more innovative approaches.

Although food waste issue is one of the contemporary issues in the world, very little is known about how social food consumption leads to food waste behavior. This study employs social influence theory and the collectivistic culture orientation to investigate the unanswered question of why food gets wasted in social meal context.

This study extends the theory of planned behavior (TPB) through the inclusion of motivating variables for suboptimal produce preference (i.e. environmental concern, food waste awareness, and familiarity), and demotivating variables (i.e. health consciousness and risk perception) to investigate behavioral intentions toward suboptimal produce.

A quantitative research methodology using the online survey technique is employed to collect cross-cultural data from respondents from China (n = 430) and Egypt (n = 441). Structural equation modeling (SEM) via SmartPLS v.3.2.9 is used to analyze data.

The proposed extended TPB model could enhance predicting consumers' behavioral intentions toward suboptimal produce except for “environmental concern” since it has been found that environmental concern has a nonsignificant effect on consumers' attitudes and behavioral intentions toward suboptimal produce in both countries. The results also reveal that the proposed extended TPB constructs could predict 79.9% of intentions to purchase suboptimal produce and 65.3% of the variance in intentions to recommend such produce for others.

This study is one of the few attempts that investigates the suboptimal food consumption based on a theoretical lens by extending the TPB model. Previous studies on suboptimal food do not pay attention to the demotivating variables such as health consciousness and risk perception, and thus, this thesis represents the first effort that sheds light on such variables. Moreover, prior investigation on such issues in Egypt and China as a cross-cultural research has not existed.

This study examines the effect of five price perception dimensions (price consciousness, price mavenism, sale proneness, price-quality schema, and prestige sensitivity) on consumer's perceived value (acquisition value, and transaction value), and how perceived value affects consumers' behavioral intentions (purchase intentions, and intentions to recommend). It also examines the moderation role of face consciousness.

A quantitative research methodology using online survey technique is employed to collect cross-cultural data from respondents from China (n = 371) and Egypt (n = 384). Structural equation model (SEM) via SmartPLS v.3.2.9 is conducted to analyze data.

The results show that consumers’ behavioral intentions toward suboptimal fresh produce are positively affected by both dimensions of perceived value. As well as, perceived value is influenced by different price perception dimensions. Moreover, face consciousness partially moderates the relationship between perceived value and behavioral intentions.

To best of the authors’ knowledge, it is the first study to associate price perception dimensions with purchase value dimensions in the context of suboptimal products. It also contributes to utility and purchase value theory by employing the distinct measures of both perceived acquisition value and transaction value, to enable us to obtain a better understanding of the whole picture of perceived value. In addition, it contributes to regulatory focus theory through the inclusion of face consciousness in the purchase value model. Moreover, up to the researchers' knowledge, prior investigation on these issues in Egypt and China as a cross-cultural research does not exist.

The present research extends the existing literature of halal tourism and Muslims’ travel decision-making by applying information-seeking models and the planned behavior theory to identify the process of decision-making to travel to non-Islamic destinations. This study aims to identify the views of Muslim travelers who traveled before to non-Islamic destinations to evaluate their information search experience and how their travel decision is formed.

Semi-structured interviews are conducted with a sample of Muslim travelers who visited a non-Islamic destination during the past five years. Data saturation resulted in 17 interviewees from different Islamic destinations, namely, Egypt, Morocco, Sudan and Pakistan.

Muslim interviewees indicate the relative importance of reference groups compared to the government websites as a source of information. This study concludes some remarkable results regarding the importance of some halal marketing strategies such as halal searchability and availability, halal certification and appraisal, halal at airports and halal hotels. It presents an emergent framework that shows the factors affecting visiting a non-Islamic destination regarding halal issues for Muslim travelers.

It provides destinations’ official tourism managers with various strategies to brand their destinations as Muslim-friendly destinations.

Investigating the process of decision-making of traveling to non-Islamic destinations from Muslim travelers’ perspective is limited. Examining the role of information-seeking behavior in Muslim travelers’ decision-making is scarce.

Innovation convergence is critical to national or regional economic growth patterns. This article provides a systematic review of innovation convergence research through qualitative discussions combined with bibliometric methods. Through this article, researchers interested in the field of innovation convergence can quickly understand the development of the field, quickly identify authors and publications with significant impact, and collaborative networks in the field.

This article is based on the relevant literature included in the WOS database from 1990 to 2021, using Citespace, Gephi and other software to conduct a systematic bibliometric analysis of the research in the new convergence field.

This research shows that the second half of the twentieth century was a boom period for research on economic convergence. 2. The subject foundation of innovation convergence research mainly includes mathematics, economics, political science and computational science. 3. The journals that publish research in this field are widely distributed, including the fields of economics, natural sciences and complex sciences. 4. The research in the field of innovation convergence is inseparable from the research in the field of economic growth.

This study may help others to understand the development history and research trends of the innovation convergence field, as well as the literature and cooperative scientific research institutions that have an important influence.

The purpose of this paper is to explore the effects of online advertising spending on automobile sales through both search and non-search advertising.

Sales data of the top 52 vehicle models were collected in two consecutive years in China. The advertising spending data of both formats were collected from a leading consulting company and a major search engine company. Then several empirical models were proposed to evaluate the effects of online advertising on automobile sales. Two extended models were further investigated for search advertising.

The results revealed that both formats of online advertising have significantly positive effects on automobile sales. However, excessive spending on non-search advertising does not help sales and a moderate budget is preferred. On the other hand, spending on search advertising has no such constraint to improve the vehicle sales.

The empirical findings have proved the importance of online advertising to the automobile companies and thus can help companies improve their decision making in online advertising allocation strategies.

This study provides a better understanding of the relationship between online advertising spending and automobile sales, and helps business to define sophisticated online advertising strategies to improve sales performance.

Network embeddedness has been widely considered in enterprise innovation as an effective means of overcoming resource dilemmas. However, while focussing on acquiring external innovation resources, the existing research often ignores the vital role of internal routine updates. Therefore, this study explores the mechanism by which network embeddedness affects innovation performance of enterprises from the perspective of organisational routine updating.

This paper proposes a theoretical model based on social network theory and organisational routines–immune response theory. A total of 328 pieces of research data on high-tech enterprises in China were collected, and the hypotheses were verified using hierarchical regression analysis.

The results show that the two forms of network embeddedness – structural embeddedness and relational embeddedness, have a positive effect on enterprise innovation performance and a significant positive effect on organisational routine revision and organisational routine creation. Both organisational routine revision and organisational routine creation positively affect enterprise innovation performance and partially mediate the relationship between network embeddedness and enterprise innovation performance.

This conclusion provides a new perspective on the impact of network embeddedness on enterprise innovation performance and expands the related research on organisational routine updating. This study provides a theoretical reference for high-tech enterprises to improve their competitiveness and innovation performance through network embeddedness and organisational routine updating.

This paper aims to review the research on accounting professionalisation in China to develop insights into how the research is developing, offer a critique of the research to date and outline future research directions and opportunities.

This paper adopts a methodological approach of systematic literature review, as suggested by Tranfield et al. (2003) and Denyer and Tranfield (2009), to identify, select and analyse the extant literature on the Chinese public accounting profession. In total, 68 academic works were included in the review process.

This paper finds that the extant literature has produced fruitful insights into the processes and underlying motivation of accounting professionalisation in China, demonstrating that the Chinese experience has differed, to a large extent, from the hitherto mainly Anglo-American-dominated understandings of accounting professionalisation. However, due to the lack of common theoretical vernacular and an agreed upon focus, the extant literature illustrates a fragmented and contradictory picture, making attempts to accumulate prior knowledge in the field increasingly difficult.

This paper focusses only on research published in English. Consequently, the scope of review has been limited as some works published in languages other than English may be excluded.

This paper provides one of the pioneering exercises to systematically review the research on accounting professionalisation in China. It explores significant issues arising from the analysis and provides several suggestions for furthering the research effort in this field.