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1 – 10 of 169Xinxue Zhou, Jian Tang and Tianmei Wang
Customers' co-design behavior is an important source of knowledge for product innovation. Firms can regulate the focus of information interaction with customers to set goals and…
Abstract
Purpose
Customers' co-design behavior is an important source of knowledge for product innovation. Firms can regulate the focus of information interaction with customers to set goals and motivate their co-design behavior. Drawing on regulatory fit theory and construal level theory, the authors build a research model to study whether the fit between the regulatory focus of firms' task invitations (promotion focus vs prevention focus) and their feedback focus (self-focused vs other-focused) can enhance co-design behavior by improving customers' experiences (perceived meaning, active discovery and perceived empowerment).
Design/methodology/approach
The authors conducted two online between-subjects experiments to validate the proposed research model.
Findings
The two online experiments reveal that customers' experiences are enhanced when the feedback focus is congruent with the regulatory focus of the firm's task invitations. Specifically, self-focused feedback has a stronger positive effect on customers' experiences in the prevention focus context. Other-focused feedback has a stronger positive effect on customers' experiences in the promotion focus context. Moreover, customers' experience significantly and positively affects co-design behavior (i.e. co-design effort and knowledge contribution).
Originality/value
This work provides theoretical and practical implications for firms to improve the effectiveness of information interaction with their customers and eventually ensure the sustainability of co-design.
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Shuang Yang, Jiarong Tang, Jian Cai and Gongxing Guo
Few extant studies have focused on digital rituals and investigated the relationship between them and customer citizenship behavior in the context of online brand communities…
Abstract
Purpose
Few extant studies have focused on digital rituals and investigated the relationship between them and customer citizenship behavior in the context of online brand communities (OBCs). This study aims to examine the sequential mediation mechanism of emotional energy and spiritual brand identification under interaction ritual theory and identifies membership prototypicality as the moderator.
Design/methodology/approach
An online investigation of 515 OBC users was conducted to gather data, and structural equation modeling was applied to test the hypotheses.
Findings
The empirical results revealed that OBC rituals were positively related to customer citizenship behavior. Emotional energy and spiritual brand identification could play mediating roles in the relationship between OBC rituals and customer citizenship behavior. Furthermore, there existed a sequential mediation mechanism with emotional energy as the first mediator and spiritual brand identification as the second. The effect of OBC rituals on emotional energy was more significant for peripheral members than prototypical members.
Practical implications
Managers of OBCs should conduct various ritualistic strategies to stimulate users to perform customer citizenship behaviors. Discrete ritualized activities should be intended for members of different prototypicalities.
Originality/value
This study provides a profound insight on how OBC rituals foster customer citizenship behavior and is among the first to explore such a relationship. It also investigates the sequential mediation mechanism, thus broadening the research on the influencing processes of OBC rituals on customer citizenship behavior.
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Jianhui Jian, Haiyan Tian, Dan Hu and Zimeng Tang
With the growing concern of various sectors of society regarding environmental issues and the promotion of sustainable development, green technology innovation is generally…
Abstract
Purpose
With the growing concern of various sectors of society regarding environmental issues and the promotion of sustainable development, green technology innovation is generally considered to be conducive to the long-term development of enterprises. However, because of the existence of agency problems, managers may have shortsighted behaviors. Then how will managers' shortsighted behaviors affect enterprises' green technology innovation?
Design/methodology/approach
This paper uses machine learning-based text analysis methods to construct a manager myopia index based on the data from A-share listed companies on the Shanghai and Shenzhen Stock Exchanges from 2015 to 2020. We examine the impact of manager myopia on green technology innovation in companies.
Findings
Our study finds that manager myopia significantly inhibits green technology innovation in companies. However, when multiple large shareholders coexist and the proportion of institutional investors' holdings is high, it can alleviate the inhibitory effect of manager myopia on green innovation. Heterogeneity tests show that the impact of manager myopia on green technology innovation is relatively significant in non-state-owned and manufacturing companies, as well as in the electricity industry. Robustness tests demonstrate that our conclusions remain valid after using propensity score matching to eliminate endogeneity problems.
Originality/value
From the perspective of corporate governance, this paper incorporates managers' shortsightedness, multiple large shareholders and institutional investors' shareholding ratios into the same logical framework, analyzes their internal mechanisms, helps improve corporate governance, enhances green innovation capabilities and has strong implications for the implementation of national innovation-driven development strategies and the achievement of “carbon peak” and “carbon neutrality” targets.
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Alireza Jalali, Said Mohamad Al Riyami, Mohammad Rezaur Razzak and Hanin Suleiman Alqam
The purpose of this study is to empirically examine the direct effect of extra-industry network (EIN) and organization–stakeholder relationships (OSR) on absorptive capacity…
Abstract
Purpose
The purpose of this study is to empirically examine the direct effect of extra-industry network (EIN) and organization–stakeholder relationships (OSR) on absorptive capacity (ACAP). In addition, this study explored indirect effects of EIN and OSR on performance through ACAP among small- and medium-sized enterprises (SMEs) in Oman by considering the moderating role of big data analytics (BDA) outsourcing.
Design/methodology/approach
This study utilized quantitative method through survey questionnaire. The hypotheses were tested with a sample size of 202 surveys completed by SME owners. Partial least squares-structural equation modeling (PLS-SEM) was administered to analyze data via the SmartPLS 4.0 software.
Findings
The analysis revealed that EIN and OSR had an indirect effect on performance through ACAP, while propensity to outsource BDA was found to have a positive moderating role between EIN and performance. Interestingly, propensity to outsource BDA was found to have a negative moderating influence on the relationship between ACAP and performance.
Practical implications
This research is beneficial for entrepreneurs who wish to learn about the specific intangible resources significant for venture growth, to devise effective strategies to expand their EIN and OSR and to consider the significance of the correlations established in this study through ACAP. The result also assists managers in a way that the propensity to outsource BDA strengthens the positive effect of EIN on performance and weakens the positive effect of ACAP on performance.
Originality/value
This research appears to be among the first empirical studies that attempt to provide insights into the importance of ACAP as the key mechanisms to transform the advantages of EIN and OSR to enhance performance by considering the moderating role of propensity to outsource BDA.
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Sheshadri Chatterjee, Ranjan Chaudhuri, Alkis Thrassou and Demetris Vrontis
The research empirically examines the role of artificial intelligence (AI) integrated with social customer relationship management (SCRM) in multinational enterprises (MNEs…
Abstract
Purpose
The research empirically examines the role of artificial intelligence (AI) integrated with social customer relationship management (SCRM) in multinational enterprises (MNEs) towards international relationship management under social distancing conditions due to the COVID-19 pandemic.
Design/methodology/approach
The study initially undertakes pertinently focused theoretical research in the fields of international marketing, knowledge management, and customer relationship management. And, utilizing the theories of resource-based view (RBV) and dynamic capability view (DCV) theory, the study develops a theoretical model that is subsequently empirically validated through a survey and structural equation modeling.
Findings
The study highlights the importance and means of adopting AI-integrated social CRM by MNEs, in the context of international relationship management, under the Covid-19 social distancing conditions. The study more specifically elucidates the role and significance of MNE leadership approach and support towards the adoption of AI-integrated social CRM systems and, ultimately, performance improvement of MNEs under such conditions.
Research limitations/implications
The study presents insights and prescriptive explications on a topic at the heart of state-of the-art technology-based international marketing in the explicit context of the primary business-defining environment of the Covid-19 pandemic. The research provides practicable suggestions to MNEs' leadership towards the adoption of an AI-integrated social CRM system. And the study presents a unique model for international relationship management under social distancing conditions, potentially applicable during other crises.
Originality/value
The research is original and on a ‘fresh’ topic that combines the latest technological advancements in business (AI-integrated CRM) with the present critical business context (pandemic). The research develops a tested theoretical model that (a) is unique in its field; (b) provides a solid foundation for further research; (c) bears generic value and application during other-than-Covid-19 conditions; and (d) enhances the understanding of important fields of international marketing, including international customer relationship management and global knowledge management.
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Eloy Gil-Cordero, Belén Maldonado-López, Pablo Ledesma-Chaves and Ana García-Guzmán
The purpose of the research is to analyze the factors that determine the intention of small- and medium-sized enterprises (SMEs) to adopt the Metaverse. For this purpose, the…
Abstract
Purpose
The purpose of the research is to analyze the factors that determine the intention of small- and medium-sized enterprises (SMEs) to adopt the Metaverse. For this purpose, the analysis of the effort expectancy and performance expectancy of the constructs in relation to business satisfaction is proposed.
Design/methodology/approach
The analysis was performed on a sample of 182 Spanish SMEs in the technology sector, using a PLS-SEM approach for development. For the confirmation of the model and its results, an analysis with PLSpredict was performed, obtaining a high predictive capacity of the model.
Findings
After the analysis of the model proposed in this research, it is recorded that the valuation of the effort to be made and the possible performance expected by the companies does not directly determine the intention to use immersive technology in their strategic behavior. Instead, the results obtained indicate that business satisfaction will involve obtaining information, reducing uncertainty and analyzing the competition necessary for approaching this new virtual environment.
Originality/value
The study represents one of the first approaches to the intention of business behavior in the development of performance strategies within Metaverse systems. So far, the literature has approached immersive systems from perspectives close to consumer behavior, but the study of strategic business behavior has been left aside due to the high degree of experimentalism of this field of study and its scientific approach. The present study aims to contribute to the knowledge of the factors involved in the intention to use the Metaverse by SMEs interested in this field.
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Laura Di Chiacchio, Eva Martínez-Caro, Juan Gabriel Cegarra-Navarro and Alexeis Garcia-Perez
This study aims to investigate the impact of the ethical management of data privacy on the overall reputation of businesses.
Abstract
Purpose
This study aims to investigate the impact of the ethical management of data privacy on the overall reputation of businesses.
Design/methodology/approach
A conceptual model was proposed and tested. Data were collected from 208 small and medium-sized enterprises (SMEs) in the textile industry in Valencia, Spain using a survey instrument. Partial least squares (PLS) allowed for the analysis of the data collected.
Findings
The theoretical model explains 46.1% of the variation in the organisational reputation variable. The findings indicate that ethical data privacy has a beneficial effect on an organisation's reputation and eco-innovation. The findings also demonstrate how eco-innovation drives the development of new knowledge and green skills that, in turn, communicate to stakeholders a company's ethical commitment. These results should encourage SMEs to invest in data privacy in order to meet the needs of the SMEs' increasingly technology- and environment-sensitive stakeholders and to improve their reputation.
Originality/value
This study provides the first empirical evidence that ethical data privacy management has a positive impact on the reputation of firms. Furthermore, the originality of the research derives from the analysis of the results from an environmental perspective. Indeed, this study shows that effective data privacy management can indirectly support organisational reputation through eco-innovation and green skills.
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Ahmed Hamdy, Jian Zhang and Riyad Eid
This study's goal is to look at how visitors' experiences affect the indirect links between the destination's extrinsic motivations (DEMs) and tourists' intrinsic motives (TIMs)…
Abstract
Purpose
This study's goal is to look at how visitors' experiences affect the indirect links between the destination's extrinsic motivations (DEMs) and tourists' intrinsic motives (TIMs), on the one hand, and the perceived destination image (PDI), on the other.
Design/methodology/approach
Using structural equation modeling, 613 tourists from different nationalities were used to test the five hypotheses.
Findings
The research results revealed that second-order destinations' extrinsic motivations directly impact TIM and PDI. It also showed that tourists' experiences as moderators reduce the direct effect of DEM on PDI for first-time visitors compared to repeat visitors. Moreover, it increases the direct effect of TIM on PDI for repeated visitors.
Practical implications
Destination managers can fix the problems that hurt their reputations and images by hiring police officers in tourist areas and cleaning tourist places. In the same way, destination managers and travel agencies should use AI tools to create social media marketing campaigns focusing on natural and historical monuments. Also, the marketing plans should stress the value for money (for example, lodging, food and attractions’ cost). Finally, destination marketers can make programs for repeat visitors, focusing on DEM and TIM.
Originality/value
This article tries to fill a gap in the research on PDI formation in emerging markets as a modern technique in destination marketing by using the push-intrinsic and pull-extrinsic theories. It also looks at how the tourists' experiences moderate the direct link between DEM, TIM and PDI. Lastly, this study examines how TIM affects a destination's image in emerging markets.
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Abstract
Purpose
The purpose of this paper is to introduce an improved system identification method for small unmanned helicopters combining adaptive ant colony optimization algorithm and Levy’s method and to solve the problem of low model prediction accuracy caused by low-frequency domain curve fitting in the small unmanned helicopter frequency domain parameter identification method.
Design/methodology/approach
This method uses the Levy method to obtain the initial parameters of the fitting model, uses the global optimization characteristics of the adaptive ant colony algorithm and the advantages of avoiding the “premature” phenomenon to optimize the initial parameters and finally obtains a small unmanned helicopter through computational optimization Kinetic models under lateral channel and longitudinal channel.
Findings
The algorithm is verified by flight test data. The verification results show that the established dynamic model has high identification accuracy and can accurately reflect the dynamic characteristics of small unmanned helicopter flight.
Originality/value
This paper presents a novel and improved frequency domain identification method for small unmanned helicopters. Compared with the conventional method, this method improves the identification accuracy and reduces the identification error.
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Moustafa Mohamed Nazief Haggag Kotb Kholaif, Bushra Sarwar, Ming Xiao, Milos Poliak and Guido Giovando
This study aims to explore the pandemic's opportunities for enhancing the environmental practices of the food and beverages green supply chains and its effect on the supply…
Abstract
Purpose
This study aims to explore the pandemic's opportunities for enhancing the environmental practices of the food and beverages green supply chains and its effect on the supply chains' viability by exploring the relationship between fear and uncertainty of COVID-19, food and beverages green supply chain management (F&B-GSCM) and supply chains’ viability based on the two dimensions (robustness and resilience) and examine the moderating effect of innovative technology adoption like big data analysis (BDA) capabilities and blockchain technologies (BCT) on this relationship.
Design/methodology/approach
This study adopted partial least squares structural equation modeling (PLS-SEM) on a sample of 362 F&B small and medium enterprises (SMEs)’ managers in the Egyptian market for data analysis and hypothesis testing.
Findings
The empirical results show that the fear and uncertainty of the pandemic have a significant positive effect on green supply chain management (GSCM). Also, BDA moderates the relationship between fear and uncertainty of COVID-19 and GSCM. However, BCT do not moderate that relationship. Similarly, GSCM positively affects supply chain viability dimensions (robustness and resilience). In addition, F&B-GSCM significantly mediates the relationship between fear and uncertainty of COVID-19 and supply chain viability dimensions (robustness and resilience).
Practical implications
Food and beverages (F&B) managers could develop a consistent strategy for applying BCT and BDA to provide clear information and focus on their procedures to meet their stakeholders' needs during COVID-19. Governments and managers should develop a consistent strategy to apply food and beverages supply chains (F&B SCs)' green practices to achieve F&B SCs' resilience and robustness, especially during the pandemic.
Originality/value
The Egyptian F&B SCs have been linked directly with many European countries as a main source of many basic food and agriculture products, which have been affected lately by the pandemic. Based on the “social-cognitive,” “stakeholder” and “resource-based view” theories, this study sheds light on the optimistic side of the COVID-19 pandemic, as it also brings the concepts of F&B-GSCM, SC resilience, SC robustness and innovative technologies back into the light, which helps in solving F&B SC issues and helps to achieve their viability.
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