Wen Mu, Yiyang Bian and J. Leon Zhao
The purpose of this paper is to investigate the roles of online leadership in open collaborative innovation success by extending functional leadership theory in the context of…
Abstract
Purpose
The purpose of this paper is to investigate the roles of online leadership in open collaborative innovation success by extending functional leadership theory in the context of open source projects.
Design/methodology/approach
This study uses negative binomial regression models to empirically test the proposed hypotheses with samples of blockchain open source projects on GitHub.
Findings
The results indicate that task-oriented leadership behaviors in forms of technical contributions have little influence on open collaborative innovation success; relation-oriented leadership behaviors embedded in internal social capital and external social capital contribute to open collaborative innovation success prominently. Furthermore, the joint effects of technical contributions, internal social capital and community commitment with openness orientation are positively significant on open collaborative innovation success, respectively.
Practical implications
For leaders and participants of open collaborative innovation projects, they should attach importance to both leadership behaviors and the joint effects with openness orientation so as to make informed decisions.
Originality/value
This study offers a new fine-grained framework of open collaborative innovation success by investigating specific dimensions of task-oriented and relation-orientated leadership behaviors, as well as their joint effects with openness orientation.
Details
Keywords
Yiyang Bian, Lele Kang and J. Leon Zhao
The purpose of this paper is to investigate organizational information technology (IT) deployment from a dual decision-making perspective. This study builds on rational choice…
Abstract
Purpose
The purpose of this paper is to investigate organizational information technology (IT) deployment from a dual decision-making perspective. This study builds on rational choice theory to characterize how the costs and values of incumbent IT and those of the corresponding new cloud computing influence a company's dual decision of discontinuance and acceptance.
Design/methodology/approach
This study chooses cloud computing as the research context, since it is one of the most well-accepted ITs in current practice. By using survey methodology, the data were collected from organizations around the world. Our hypotheses were examined via multimethod analyses, including the partial least squares, the multinomial log it regression and the analysis of variance.
Findings
This research reveals that organizations often follow the dual decision-making process in IT deployment regarding a non-cloud, hybrid structure and full-cloud considers incumbent IT discontinuance and new cloud computing acceptance. These results indicate that organizations may embrace cloud computing because of its perceived high system compatibility and low support costs. Meanwhile, security threats remain the primary obstacles to conducting business in the cloud.
Originality/value
Previous studies mainly focus on a single aspect and do not reveal the intricacies of the interactions between the reduction of incumbent IT and the addition of new IT. To address this gap in the body of knowledge, our study proposes a dual decision model based on a dialectical understanding of new and incumbent IT mechanisms instead of a singular IT acceptance model.
Details
Keywords
Qiang Zhang, Xinyu Zhu, J. Leon Zhao and Liang Liang
Digital platforms have grown significantly in recent years. Although high platform failure risks (PFR) have plagued the industry, the literature has only given this issue scant…
Abstract
Purpose
Digital platforms have grown significantly in recent years. Although high platform failure risks (PFR) have plagued the industry, the literature has only given this issue scant treatment. Customer sentiments are crucial for platforms and have a growing body of knowledge on its analysis. However, previous studies have overlooked rich contextual information emb`edded in user-generated content (UGC). Confronting the research gap of digital platform failure and drawbacks of customer sentiment analysis, we aim to detect signals of PFR based on our advanced customer sentiment analysis approach for UGC and to illustrate how customer sentiments could predict PFR.
Design/methodology/approach
We develop a deep-learning based approach to improve the accuracy of customer sentiment analysis for further predicting PFR. We leverage a unique dataset of online P2P lending, i.e., a typical setting of transactional digital platforms, including 97,876 pieces of UGC for 2,467 platforms from 2011 to 2018.
Findings
Our results show that the proposed approach can improve the accuracy of measuring customer sentiment by integrating word embedding technique and bidirectional long short-term memory (Bi-LSTM). On top of that, we show that customer sentiment can improve the accuracy for predicting PFR by 10.96%. Additionally, we do not only focus on a single type of customer sentiment in a static view. We discuss how the predictive power varies across positive, neutral, negative customer sentiments, and during different time periods.
Originality/value
Our research results contribute to the literature stream on digital platform failure with online information processing and offer implications for digital platform risk management with advanced customer sentiment analysis.
Details
Keywords
Manli Wu, Xiaojuan Xu, Lele Kang, J. Leon Zhao and Liang Liang
The purpose of this paper is to examine the impacts of perceived informational value and perceived relational value on feedback-seeking intention in online communities of inquiry…
Abstract
Purpose
The purpose of this paper is to examine the impacts of perceived informational value and perceived relational value on feedback-seeking intention in online communities of inquiry (OCoIs). To develop an integrated theoretical framework, the antecedents of perceived informational value and perceived relational value are also investigated.
Design/methodology/approach
This study builds on the relational communication theory (RCT) and the social psychology perspective to develop an integrated research model regarding feedback-seeking. Hypotheses were empirically tested using data collected from 262 subjects who are members of OCoIs.
Findings
The results indicate that feedback-seeking intention is positively affected by perceived informational and relational value of feedback-seeking. Furthermore, perceived informational value partially mediates the effects of feedback-seeking self-efficacy and learning goal orientation on feedback-seeking intention; perceived relational value partially mediates the effects of social influence and social risk on feedback-seeking intention.
Practical implications
The results suggest that practitioners can promote feedback-seeking by enhancing learners’ informational and relational dependencies on OCoIs. To achieve effective online learning, practitioners should consider learners’ characteristics to provide personalized learning interventions.
Originality/value
This study advances RCT and the social psychology perspective to develop an integrated model for understanding feedback-seeking. The empirical results complement information-related explanations of feedback-seeking by finding that a relationship-related explanation is more important for promoting feedback-seeking in OCoIs. The proposed model also indicates that tolerance for ambiguity serves as a moderator in the relationship between perceived informational value and its antecedents.
Details
Keywords
Dmitri Roussinov and J. Leon Zhao
One of customer relationship management (CRM) activities involves soliciting customer feedback on product and service quality and the resolution of customer complaints…
Abstract
One of customer relationship management (CRM) activities involves soliciting customer feedback on product and service quality and the resolution of customer complaints. Inevitably, companies must deal with large number of CRM messages from their customers either through e‐mails or from work logs. Going through those messages is an important but tedious task for managers or CRM specialists in order to make strategic plans on where to place the resources to achieve better CRM results. In this paper, we present a methodology for making sense out of CRM messages based on text clustering and summary techniques. The unique features of CRM messages are the short message length and frequent availability of correlated CRM ratings. We propose several novel techniques including organizational concept space, Web mining of similarity relationships between concepts, and correlated analysis of text and ratings. We have tested the basic concepts and techniques of CRM Sense Maker in a business setting where customer surveys are used to set strategic directions in customer services.
Details
Keywords
Rukma Ramachandran, Vimal Babu and Vijaya Prabhagar Murugesan
The purpose of this paper is to analyze the extensive literature on blockchain technology (BT) and human resource management (HRM) in enterprises and set the future scope of…
Abstract
Purpose
The purpose of this paper is to analyze the extensive literature on blockchain technology (BT) and human resource management (HRM) in enterprises and set the future scope of research in the adoption of BT in HRM.
Design/methodology/approach
A framework-based review of the literature (Callahan, 2014; Paul and Criado, 2020) is adopted for the present study. The 6 W-Framework developed by Callahan (2014) is used for the development of a conceptual framework on BT and HRM and could address HRM issues through the applications of BT.
Findings
This study focused on the major HR issues, i.e., regulation, staffing and development, and change management. These issues were categorized into sub-categories. The major implementation of BT in HRM is highlighted. The study developed a framework to aid HR professionals in implementing blockchain in the decision-making process of HRM.
Research limitations/implications
The current study is limited to the bias on the part of employers in providing feedback and data feeding. Blockchain being at its infancy stage did not allow much of pieces of literary works to be introduced.
Practical implications
Implementation of ledger technology in managerial functions will reduce the time, money and effort required by potential recruiters and HR professionals. Using this technology, the time and cost required to verify and sort the right potential can be reduced.
Originality/value
The present work offers benefits to HR professionals and practitioners by expediting the process of effective decision-making of HRM employing BT.
Details
Keywords
Abhishek Kumar Jha, Saurabh Kumar and Aarushi Jain
Blockchain technology has been labeled as the most disruptive technological innovation of the current decade due to its impact on almost every major industry. Based on privacy…
Abstract
Purpose
Blockchain technology has been labeled as the most disruptive technological innovation of the current decade due to its impact on almost every major industry. Based on privacy calculus theory and prior adoption literature on emerging technologies, this research investigates the impact of blockchain technology in the consumer technology segment. It elaborated on the mechanism through which blockchain technology influences users’ willingness to share information with technology products enabled by blockchain.
Design/methodology/approach
Taking a heterogeneous pool of users, this study conducted multiple experiments with the application of blockchain (vs. regular database) technology to high (vs. low) sensitive data to study the impact of blockchain perception on users’ information-sharing tendencies.
Findings
Through a mediated moderation analysis, the result shows that the use of blockchain technology enhances the sense of security among users. However, the impact of this heightened sense of security only develops a higher willingness to share information when the data is highly sensitive.
Practical implications
The research reflects on the perception of blockchain technology and the leading impact on willingness to share information with firms. This could be a critical criterion for determining investment in blockchain technologies for consumer products, particularly based on the sensitivity of the data the consumer is sharing.
Originality/value
This research focuses on the perception of blockchain technology among consumers and its impact on consumers’ decision-making related to their data sharing. People have a higher sense of safety when it comes to blockchain-enabled products. However, we find that it would not be the same for all contexts, and the sensitivity of the data collected would have an impact on this relationship and consumers’ data-sharing decisions.
Details
Keywords
R. Glenn Richey, Daniel G. Bachrach, Michael G. Harvey and Hui Wang
Technology is often defined as a valuable firm resource particularly relative to marketing functions in the organization (Barua, Kriebel, & Mukhopadhyay, 1995; Bharadwaj, 2000;…
Abstract
Technology is often defined as a valuable firm resource particularly relative to marketing functions in the organization (Barua, Kriebel, & Mukhopadhyay, 1995; Bharadwaj, 2000; Christensen, Johnson, & Rigby, 2002). When resources are customized to match a marketing strategy, they become firm specific, and thus central to firm performance. Marketing employees also may be defined as an essential resource, in the context of key marketing activities that need to be accomplished (Barney, 1986, 2001; Coff, 2002; Dess & Picken, 1999). Because both employees and technology play key roles, we ground this study in the resource-based view (RBV) of the firm (Barney, 1991, 2001; Peteraf, 1993; Wernerfelt, 1984).
The study aims to use bibliometric and scientometric analysis to conduct a detailed investigation on the impact of disruptive technologies in accounting and reporting literature…
Abstract
Purpose
The study aims to use bibliometric and scientometric analysis to conduct a detailed investigation on the impact of disruptive technologies in accounting and reporting literature. To draw both academics and practitioners through accelerated research activities, the study also aims to look into the significance of these disruptive technologies, their potential and the opportunities they present for the accounting profession.
Design/methodology/approach
With the use of the Scopus database and a combination of accounting, reporting, auditing and technology-related keywords, 1660 research articles published between 2008 and 2023 were included in the sample. To provide graphical analysis of bibliometric data and visualize research findings such as bibliographic coupling, co-citation and keyword co-occurrence, this study used the R-biblioshiny and VOSViewer tools.
Findings
The findings demonstrate a growth in scholarly interest in the study’s area, particularly in recent years. The bibliometric analysis focuses on three key uses and applications of technology in the accounting and auditing professions: the adoption of continuous auditing and monitoring in the audit profession, the use of software tools in the audit and accounting professions and the connections between information systems and audit.
Originality/value
This study contributes to the literature by examining current research trends on the use of technology in the accounting and reporting professions, identifying gaps in the literature and, most importantly, proposing a research agenda for the field. This study’s data came entirely from English-language articles and reviews in the Scopus database. It also considers studies that are directly relevant to the use of technology in accounting and reporting.
Details
Keywords
Rita R. Carballo, Carmelo J. León and María M. Carballo
The purpose of this chapter is to evaluate and discuss the factors that underpin tourists' perceptions of anti-COVID-19 practices in tourist accommodations and destinations, as…
Abstract
Purpose
The purpose of this chapter is to evaluate and discuss the factors that underpin tourists' perceptions of anti-COVID-19 practices in tourist accommodations and destinations, as well as in tourists' experience, satisfaction and behaviour, in order to make recommendations for managers at hotels and tourist destinations.
Design/Methodology/Approach
A survey at tourist accommodations in the Canary Islands was conducted to collect data, and 431 questionnaires were part of the final analysis. The data were analysed with the SPSS27 statistical processing software. Various multivariate techniques such as correlation analysis and factor analysis were used to analyse the data.
Findings
The results reveal that anti-COVID-19 practices at the accommodation are the most important for tourists to feel safe in their visit to the destination. The most important factors in the tourists' experience during the pandemic are those related to communication and behaviour. Satisfaction after COVID-19 is perceived higher if places or items for cleaning and disinfestation are provided to tourists and rooms are naturally ventilated, while intentions to visit after COVID-19 are highest to visit local destinations.
Practical Implications
The results of the research will support scholars and practitioners to recognise the importance of factors that influence anti-COVID-19 practices, tourists' experience, satisfaction and behaviour during the pandemic. In addition, the research offers policy recommendations for maximum benefits for the tourism industry in the Canary Islands and others tourist destinations.
Originality/Value
The chapter was an original primary and exploratory study that surveyed tourists to determine their perceptions of anti-COVID-19 practices, experience, satisfaction and behaviour during the pandemic. The results reveal the most important factors in the construction of the analysed variables, and may be used as a starting point for further hospitality marketing research.