Xi Luo, Jun-Hwa Cheah, Xin-Jean Lim, T. Ramayah and Yogesh K. Dwivedi
The increasing popularity of live-streaming commerce has provided a new opportunity for e-retailers to boost sales. This study integrated signaling theory and social exchange…
Abstract
Purpose
The increasing popularity of live-streaming commerce has provided a new opportunity for e-retailers to boost sales. This study integrated signaling theory and social exchange theory to investigate how streamer- and product-centered signals influence customers’ likelihood of making an impulsive purchase in the live-streaming commerce context.
Design/methodology/approach
An online survey was designed and distributed to the target respondents in China using purposive sampling. A total of 735 valid responses were analyzed with partial least square structural equation modeling (PLS-SEM).
Findings
Both streamer-centered signals, i.e. streamer credibility and streamer interaction quality, were discovered to significantly influence product-centered signal, i.e. product information quality. Additionally, streamer interaction quality was found to have a significant impact on streamer credibility. Furthermore, it was observed that customer engagement played a significant mediating role in the relationship between product information quality and impulsive buying tendency. Moreover, the paths between product information quality and customer engagement, as well as the connection between engagement and impulsive buying tendency, were found to be moderated by guanxi orientation.
Originality/value
Despite the prevalence of impulsive purchases in live-streaming commerce, few studies have empirically investigated the impact of streamer and product signals on influencing customers’ impulsive purchase decisions. Consequently, to the best of our knowledge, this study distinguishes itself by offering empirical insights into how streamers use reciprocating relationship mechanisms to communicate signals that facilitate impulsive purchase decisions.
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Ahmad Syarief Iskandar, Muhammad Nur Alam Muhajir, Erwin Erwin and Fasiha Fasiha
This study aims to test the empirical Islamic bank customer loyalty model with the perspective of mosques as customers.
Abstract
Purpose
This study aims to test the empirical Islamic bank customer loyalty model with the perspective of mosques as customers.
Design/methodology/approach
The type of research used is quantitative to collect data from mosque customers; 93 questionnaires were analyzed using partial least square-structural equation modeling.
Findings
This research found a significant relationship between service quality and perceived value, service quality and brand image, perceived value and customer satisfaction, brand image and customer loyalty and customer satisfaction with brand image.
Research limitations/implications
First, this study only collects data from certain organizations or communities so that further research can develop the model by adding several other communities or organizations. Second, this research does not include several other important variables that influence customer loyalty, such as product innovation and company capabilities.
Originality/value
Islamic bank customer loyalty models have been widely explored from the perspective of individual customers only. This research offers new attributes that influence customer loyalty models in the context of organizations or communities, namely, mosques.
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Xiaohang Ren, Shuiling Hu, Xianming Sun and Dan Zhou
This paper investigates the impact of AI penetration rate on the degree of corporate greenwashing and aims to assess the potential of AI in enhancing firms' environmental…
Abstract
Purpose
This paper investigates the impact of AI penetration rate on the degree of corporate greenwashing and aims to assess the potential of AI in enhancing firms' environmental performance and reducing false disclosures.
Design/methodology/approach
This study employs a year and firm fixed-effects model to analyze data from Chinese listed firms from 2012 to 2022. We use the low-carbon city pilot as a quasi-natural experiment to address endogeneity concerns and conduct a series of robustness tests, including adding control variables and transforming the model.
Findings
The results of this paper show that the application of AI can inhibit firms' greenwashing behavior, with green innovation activities further enhancing this inhibitory effect. In state-owned firms and those with Party Organizations, the inhibitory effect of AI on corporate greenwashing is more significant. This reduction in greenwashing is more likely to be observed in firms that are heavily influenced by Confucian culture, receive higher public attention regarding their environmental impact, face less market competition, suffer from more serious pollution and face less financial constraints.
Originality/value
We propose a new research perspective that offers novel insights into promoting the green development of firms by revealing the potential of AI in reducing their greenwashing behavior. Corporate boards can explore specific strategies for applying AI to monitor, prevent and correct greenwashing, thereby enhancing corporate environmental performance and social responsibility.
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Dan Feng, Zhenyu Yin, Xiaohui Wang, Feiqing Zhang and Zisong Wang
Traditional visual simultaneous localization and mapping (SLAM) systems are primarily based on the assumption that the environment is static, which makes them struggle with the…
Abstract
Purpose
Traditional visual simultaneous localization and mapping (SLAM) systems are primarily based on the assumption that the environment is static, which makes them struggle with the interference caused by dynamic objects in complex industrial production environments. This paper aims to improve the stability of visual SLAM in complex dynamic environments through semantic segmentation and its optimization.
Design/methodology/approach
This paper proposes a real-time visual SLAM system for complex dynamic environments based on YOLOv5s semantic segmentation, named YLS-SLAM. The system combines semantic segmentation results and the boundary semantic enhancement algorithm. By recognizing and completing the semantic masks of dynamic objects from coarse to fine, it effectively eliminates the interference of dynamic feature points on the pose estimation and enhances the retention and extraction of prominent features in the background, thereby achieving stable operation of the system in complex dynamic environments.
Findings
Experiments on the Technische Universität München and Bonn data sets show that, under monocular and Red, Green, Blue - Depth modes, the localization accuracy of YLS-SLAM is significantly better than existing advanced dynamic SLAM methods, effectively improving the robustness of visual SLAM. Additionally, the authors also conducted tests using a monocular camera in a real industrial production environment, successfully validating its effectiveness and application potential in complex dynamic environment.
Originality/value
This paper combines semantic segmentation algorithms with boundary semantic enhancement algorithms to effectively achieve precise removal of dynamic objects and their edges, while ensuring the system's real-time performance, offering significant application value.
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Muhammad Fadhly Rizky Octavio and Doddy Setiawan
This study aims to investigate the influence of public attention and media through the internet on corporate disclosures related to climate change. As public awareness of…
Abstract
Purpose
This study aims to investigate the influence of public attention and media through the internet on corporate disclosures related to climate change. As public awareness of environmental issues and the urgency of addressing climate change increases, pressure is mounting on companies to be transparent about their actions and contributions to climate change mitigation.
Design/methodology/approach
This study uses regression analysis to examine the relationship between public and media attention and corporate climate change disclosure. The panel data consists of information from 142 mining companies in the ASEAN region from 2017 to 2021.
Findings
The research findings show that public and media attention through the internet positively and significantly influences companies’ disclosure regarding their climate change actions. Companies that receive higher levels of public and media scrutiny through the internet tend to disclose more information regarding their climate change mitigation initiatives, strategies and performance. This highlights the importance of public and media attention in driving corporate transparency and accountability in addressing this global challenge.
Practical implications
This research emphasizes the need for companies to proactively engage the public and media on the internet in climate change disclosure strategies. By recognizing the influence of these external stakeholders, companies can design more effective communication and reporting approaches to build legitimacy, enhance their reputation and effectively demonstrate their commitment to contributing to climate change mitigation efforts.
Originality/value
The novelty of this research lies in its study of the role of public attention and media through the internet as a driver of climate change disclosure by companies. Public attention is measured using data from Google Trends as the novelty of this research.
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The purpose of this study is to provide an optimal joint strategy of multi-period pricing and sales effort for a retailer with a logit choice demand in an integrated channel.
Abstract
Purpose
The purpose of this study is to provide an optimal joint strategy of multi-period pricing and sales effort for a retailer with a logit choice demand in an integrated channel.
Design/methodology/approach
Customer demand is characterized by a logit choice model, it varies over time and is influenced by price and sales effort. The multi-period decision model for the retailer is constructed using a discrete-time dynamic programming method to determine the optimal price and sales effort in each period.
Findings
When the inventory level does not exceed a certain threshold, decreasing price and increasing sales effort over time or as inventory level increases are the optimal strategies. However, once the inventory level exceeds the threshold, the optimal strategy is to maintain both price and sales effort constant as the inventory level changes or to increase price and decrease sales effort over time. Additionally, the greater the influence of sales effort on demand or the higher the arrival rate of customers, the higher the optimal price and the greater the optimal sales effort level.
Originality/value
This study contributes to the existing research on dynamic pricing and sales effort in integrated channels by incorporating a logit choice model. Furthermore, it provides valuable management insights for retailers operating in an integrated channel to make pricing and sales effort decisions based on inventory level and time period.
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Constantin Bratianu, Dan Paiuc and Laura Brancu
This article aims to delve into the connections between DNA, cultural intelligence (CQ) and knowledge dynamics (KD) as native ingredients of the global mindset of multicultural…
Abstract
Purpose
This article aims to delve into the connections between DNA, cultural intelligence (CQ) and knowledge dynamics (KD) as native ingredients of the global mindset of multicultural managers and leaders. Cognitive science and knowledge management researchers show that business process decision-making is not entirely rational, based on explicit knowledge. They depend on the dynamics of rational, emotional and spiritual knowledge fields and on the capacity to integrate those dynamics into cultural intelligence. Most business process management studies show that managerial competencies depend on native and educational components. The literature usually addresses the developing process of those competencies through educational programs and leaves a knowledge gap concerning their native ingredients.
Design/methodology/approach
We designed an integrated research approach containing a critical literature review, supported by a bibliometric analysis using VOSviewer and a quantitative analysis derived from questionnaires and their statistical processing using SPSS, version 28. Based on VOSviewer variant 1.6.20, the bibliometric approach is used to understand the intricate correlation between DNA, CQ and KD, while the quantitative analysis is rooted in a questionnaire’s results from a sample of 101 managers with cross-cultural experience.
Findings
The analysis reveals that DNA diversity can play a notable role as a vector and predictor of CQ and KD. The results demonstrate the connection between geo-genetic diversity, CQ and the ability to be effective in multicultural business environments. Furthermore, the study highlights the impact of DNA on knowledge dynamics, revealing how geo-genetic variations impact the transfer and transformation of knowledge within sociocultural contexts—with implications for organizational behavior and cross-cultural and multicultural management.
Research limitations/implications
This study may encounter limitations in establishing a direct and unique causal relationship between DNA, cultural intelligence and knowledge dynamics, as the complex interplay of various factors, such as individual experiences, social environment and education, could influence the interpretations of the findings. Additionally, generalizing the results across diverse populations would be challenging due to the potential ethnic and geographic variations in genetic and cultural contexts (Alexander et al., 2021). Also, for future research, we could reverse the process and measure a self-reported CQ before the DNA test in order to avoid any potential cultural bias or extended perception. Business process management within a multicultural environment is strongly nonlinear and more complex models should be developed to reveal the inner correlations between main constructs.
Practical implications
This research extends beyond academia into practical domains such as organizational behavior, cross-cultural and multicultural leadership, and sustainable business processes. Acknowledging the role of genetic diversity in these phenomena encourages further inquiry, prompting scholars and practitioners to investigate the organization’s concrete ways to increase creativity and innovation, adaptability and resilience toward successful navigation in the international business environment based on diversity, inclusion and global mindset.
Social implications
Comprehending the genetic underpinnings of cultural intelligence and knowledge dynamics has potential implications for various fields, such as education, cross-cultural communication and even policy-making. By acknowledging and harnessing the influence of genetic diversity in these domains, we aim to create more inclusive and opportunity-rich environments that foster intercultural learning and cooperation. We also aim to generate more sustainable business approaches based on flexibility, continuous learning and cultural adaptation.
Originality/value
Previous literature mainly concentrated on environmental and individual factors acting on CQ and KD; however, this study is focused on uncovering DNA’s influence on these concepts and topics. The originality of this study lies in challenging conventional views on CQ and KD by introducing genetic factors to understand individual differences. Recognizing the impact of diverse genetic roots on CQ and KD, this paper emphasizes values like respect for the culture and historical background, understanding others' values, diversity and inclusion, and learning and agilely adapting. These vectors are the foundation for modern business processes in multicultural environments.
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Gheorghe-Ilie Fârte, Daniel Rareș Obadă, Alexandra-Niculina Gherguț-Babii and Dan-Cristian Dabija
This research explores the impact of trust in online information, parasocial interaction, online flow experience, sharing fake news and corporate credibility on companies’…
Abstract
Purpose
This research explores the impact of trust in online information, parasocial interaction, online flow experience, sharing fake news and corporate credibility on companies’ resilience to negative information.
Design/methodology/approach
A conceptual research model was developed, employing the flow theory to fill gaps in the literature. A cross-sectional national online survey was conducted among 1,550 respondents aged 16–74 in an emerging market, utilizing a quantitative-based approach; the data were then analyzed using structural equation modeling.
Findings
Trust in online information and parasocial interactions was found to impact the online flow experience, with parasocial interaction positively affecting it optimally. The sharing of fake news is affected by parasocial interaction and the online flow experience, which in turn affects corporate credibility.
Originality/value
Corporate credibility is shown to be an antecedent of resilience to negative information and word-of-mouth communication in companies, the former having a direct influence on the latter. The study hence has significant theoretical and managerial implications for communication and marketing.
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Pankaj Kumar, Pardeep Ahlawat, Mahender Yadav, Parveen Kumar and Vaibhav Aggarwal
The present study aims to examine the households’ attitudes and intentions to adopt an indoor air purifier against the smog crisis in India by using a comprehensive theoretical…
Abstract
Purpose
The present study aims to examine the households’ attitudes and intentions to adopt an indoor air purifier against the smog crisis in India by using a comprehensive theoretical framework based on the combination of the Protective Action Decision Model (PADM) and the Theory of Planned Behavior (TPB). The United Nations Sustainable Development Goals (SDGs) 2030 also emphasized ensuring a healthy and safe life, especially by achieving SDG-3, SDG-11 and SDG-13.
Design/methodology/approach
Using purposive sampling, the data were collected through a survey questionnaire distributed to 382 households, and study hypotheses were assessed by using partial least squares structural equation modeling employing SmartPLS.
Findings
The results revealed that mental health risk perception (MHRP) was the most influential determinant of households’ attitudes toward adopting air purifiers, followed by smog knowledge, physical health risk perception (PHRP), information seeking and product knowledge. Notably, results revealed that households’ attitude is a leading determinant of their adoption intention toward the air purifier compared to subjective norms (SN) and perceived behavioral control (PBC).
Originality/value
To the best of the authors’ knowledge, the present study is the first to provide new insights into an individual’s protective behavior response toward ecological hazards by examining the households’ adoption intention toward the air purifier against the smog crisis using PADM and TPB model inclusively. In addition, the present study analyzes the impact of both PHRP and MHRP on individuals’ protective behavior separately. Also, this study provides theoretical contributions and important practical implications for the government, manufacturers and air purifier sellers.
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Qian Zhou, Shuxiang Wang, Liya Wang and Wei Xu
Open innovation platform has become an effective field through which enterprises can acquire valuable knowledge for incremental and breakthrough innovation. However, as more…
Abstract
Purpose
Open innovation platform has become an effective field through which enterprises can acquire valuable knowledge for incremental and breakthrough innovation. However, as more entities join the innovation platform, the knowledge activities in the platform ecosystem are now facing higher complexity and vulnerability due to the differences in the knowledge demands as well as conflicting interest claims of participants. The lack of mature governance mechanisms has caused opportunistic behaviors like knowledge infringement, leakage and hiding, which seriously hinder the in-depth knowledge sharing and effective utilization. What’s more, the enthusiasm for collaborative innovation also reduced among multi-subjects. Therefore, the purpose of this study is to improve platform participants’ innovation ambidexterity under the guidance of scientific design of platform knowledge governance mechanisms through improved knowledge transformation processes.
Design/methodology/approach
Therefore, based on knowledge governance theory and knowledge transformation model (SECI, socialization-externalization-combination-internalization), the study explored the influence of relationship and contractual knowledge governance on the innovation ambidexterity of platform participants through the mediation effect of knowledge transformation. To better analyze complex causal relationships among variables and the chain multiple mediation effect, structural equation modeling is used, coupled with bootstrap analysis verification.
Findings
Platform contractual governance and relationship governance can positively influence the innovation ambidexterity of participants through knowledge trading and reuse, as well as through knowledge sharing and creation. The findings not only contribute to optimizing the effectiveness of knowledge activities on digital platforms but also provide empirical evidence and practical insights to support enterprises’ incremental and breakthrough innovation according to their own knowledge bases.
Practical implications
The findings offer valuable insights for providing decision-making guidance not only for platform-leading enterprises but also for individual and enterprise users on effectively using open innovation platforms to conduct knowledge seeking, trading or sharing and knowledge reuse or creation to enlarge the incremental innovation value and to trigger breakthrough innovation value in their product and technology developments.
Social implications
Through diverse knowledge governance mechanisms, platform-leading enterprises do not only act as “economic agents” with private attributes to reduce knowledge asymmetry in the public trading market, diffuse knowledge broadly and mitigate cooperation costs to increase economic value; they also serve as “social actors” for multilateral participants to increase the cohesion of knowledge sharing and creation to provide sustainable knowledge fuel for the higher level of breakthrough innovation. Overall, knowledge arrangement efficiency can be optimized, and breakthrough innovation value can be activated in a well-governed platform, gradually escaping the diminishing marginal benefits of exploitative innovation.
Originality/value
This study has extended the views of the knowledge transformation model under the platform context and proposed dualistic knowledge transformation pathways, named “tacit knowledge socialization” and “explicit knowledge combination,” respectively. Besides, it discovered that under the contractual and relationship knowledge governance mechanisms’ guiding, participants in open innovation platforms may choose different knowledge searching and exchange ways according to their knowledge needs and thus trigger the different knowledge transform process. Then, “tacit knowledge socialization” transformation can show larger positive impact on breakthrough innovation, while “explicit knowledge combination” transformation makes larger impact on incremental innovation.