Weihua Liu, Jiahe Hou, Yujie Wang and Ou Tang
Drawing on the stakeholder theory, this study aims to empirically analyse the impact of platform enterprises’ corporate social responsibility (CSR) announcements on corporate…
Abstract
Purpose
Drawing on the stakeholder theory, this study aims to empirically analyse the impact of platform enterprises’ corporate social responsibility (CSR) announcements on corporate stock market value. This study also estimates the moderating effect of stakeholder orientation and responsibility categories of CSR announcements, the platform enterprise type and the degree of CSR disclosure.
Design/methodology/approach
The event study method is used to analyse the change in stock market value of 191 CSR announcements from 137 Chinese platform enterprises. In addition, a case analysis is presented for two platform enterprises with the best practices to validate and complement study findings.
Findings
CSR announcements improve platform enterprises’ stock market value. Specifically, CSR announcements responding to platform enterprises’ external stakeholders, and CSR announcements with economic responsibility, have obvious positive impacts on stock market value. Furthermore, the maker platform’s CSR announcement has a more positive impact on stock market value than the exchange platform.
Originality/value
To the best of the authors’ knowledge, this study is the first attempt to identify the link between platform enterprises’ CSR announcements and stock market performance by empirical evidence, and it contributes to new knowledge of operating and evaluating platform enterprises’ CSR.
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Mengyang Gao, Jun Wang and Ou Liu
Given the critical role of user-generated content (UGC) in e-commerce, exploring various aspects of UGC can aid in understanding user purchase intention and commodity…
Abstract
Purpose
Given the critical role of user-generated content (UGC) in e-commerce, exploring various aspects of UGC can aid in understanding user purchase intention and commodity recommendation. Therefore, this study investigates the impact of UGC on purchase decisions and proposes new recommendation models based on sentiment analysis, which are verified in Douban, one of the most popular UGC websites in China.
Design/methodology/approach
After verifying the relationship between various factors and product sales, this study proposes two models, collaborative filtering recommendation model based on sentiment (SCF) and hidden factors topics recommendation model based on sentiment (SHFT), by combining traditional collaborative filtering model (CF) and hidden factors topics model (HFT) with sentiment analysis.
Findings
The results indicate that sentiment significantly influences purchase intention. Furthermore, the proposed sentiment-based recommendation models outperform traditional CF and HFT in terms of mean absolute error (MAE) and root mean square error (RMSE). Moreover, the two models yield different outcomes for various product categories, providing actionable insights for organizers to implement more precise recommendation strategies.
Practical implications
The findings of this study advocate the incorporation of UGC sentimental factors into websites to heighten recommendation accuracy. Additionally, different recommendation strategies can be employed for different products types.
Originality/value
This study introduces a novel perspective to the recommendation algorithm field. It not only validates the impact of UGC sentiment on purchase intention but also evaluates the proposed models with real-world data. The study provides valuable insights for managerial decision-making aimed at enhancing recommendation systems.
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This conceptual paper aims to demonstrate a holistic, multifaceted framework of interest development, information search, and knowledge construction (ISK) on children’s diverse…
Abstract
Purpose
This conceptual paper aims to demonstrate a holistic, multifaceted framework of interest development, information search, and knowledge construction (ISK) on children’s diverse information search behaviors.
Design/methodology/approach
By reviewing previous literature on children’s interest development, online information seeking and search, and knowledge construction, we propose the ISK framework. Then, we provide example case studies with pilot analyses using qualitative approaches (e.g. video-based interaction analysis, thematic analysis) showing how the framework can be applied to different types of authentic information-seeking situations for children.
Findings
The ISK framework demonstrates the multifaceted interplays between children’s information behavior and their cognitive and affective development. This framework was supported using previous studies and pilot empirical applications. We also included potential research questions that could be addressed using the framework.
Originality/value
Our paper provides a conceptual grounding to an in-depth, multidimensional understanding of children’s information behavior, which have been limitedly addressed in previous studies. Considering that children begin to search from their early stage of development and their search behaviors are tightly associated with other developmental states, our paper highlights the importance of investigating children’s search and information seeking and provides theoretical and empirical implications.
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Weihua Liu, Tingting Liu, Ou Tang, Paul Tae Woo Lee and Zhixuan Chen
Using social network theory (SNT), this study empirically examines the impact of digital supply chain announcements disclosing corporate social responsibility (CSR) information on…
Abstract
Purpose
Using social network theory (SNT), this study empirically examines the impact of digital supply chain announcements disclosing corporate social responsibility (CSR) information on stock market value.
Design/methodology/approach
Based on 172 digital supply chain announcements disclosing CSR information from Chinese A-share listed companies, this study uses event study method to test the hypotheses.
Findings
First, digital supply chain announcements disclosing CSR information generate positive and significant market reactions, which is timely. Second, strategic CSR and value-based CSR disclosed in digital supply chain announcements have a more positive impact on stock market, however there is no significant difference when the CSR orientation is either towards internal or external stakeholders. Third, in terms of digital supply chain network characteristics, announcements reflecting higher relationship embeddedness and higher digital breadth and depth lead to more positive increases of stock value.
Originality/value
First, the authors consider the value of CSR information in digital supply chain announcements, using an event study approach to fill the gap in the related area. This study is the first examination of the joint impact of digital supply chain and CSR on market reactions. Second, compared to the previous studies on the single dimension of digital supply chain technology application, the authors innovatively consider supply chain network relationship and network structure based on social network theory and integrate several factors that may affect the market reaction. This study improves the understanding of the mechanism between digital supply chain announcements disclosing CSR information and stock market, and informs future research.
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Weihua Liu, Yongzheng Gao, Chaolun Yuan, Di Wang and Ou Tang
This study explores the impact of carbon neutrality policies on Chinese stock market from a supply chain perspective. Specifically, the carbon policy refers to the Action Plan for…
Abstract
Purpose
This study explores the impact of carbon neutrality policies on Chinese stock market from a supply chain perspective. Specifically, the carbon policy refers to the Action Plan for Carbon Dioxide Peaking Before 2030 (the Plan) in China.
Design/methodology/approach
This paper is based on the resource dependence theory (RDT) and applies the event study methodology to explore the impact. It uses the cross-sectional regression model to reveal the moderating effect of supply chain characteristics on the stock market reaction with a data set of 354 listed companies in A-shares (excluding ChiNext and SME board).
Findings
The promulgation of the Plan shows a significant negative stock market reaction. Customer concentration, out-degree centrality and smart supply chains (SSCs) have a significant negative moderating effect. In-degree centrality and supplier concentration have a significant positive moderating effect. Furthermore, the conclusions concerning out-degree centrality, supplier concentration and SSCs are counterintuitive.
Practical implications
For policymakers, the study results provide a reference for evaluating the carbon neutrality policy. For managers, this study provides theoretical support for strategically adjusting and designing supply chain structures in the context of advocating peak carbon dioxide emissions and carbon neutrality.
Originality/value
This paper is the first attempt that includes the supply chain structure factors into the impact of carbon neutrality policies on the stock market.
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Katrina Crotts Roohr, Margarita Olivera-Aguilar and Ou Lydia Liu
For more than a decade, there has been an increased focus on the need for accountability and transparency about the value that United States and international higher education…
Abstract
For more than a decade, there has been an increased focus on the need for accountability and transparency about the value that United States and international higher education institutions add to students' knowledge and skills to help increase their economic productivity and career opportunities. This focus on accountability and transparency within the U.S. dates to 2005 when former US Secretary of Education Margaret Spellings established a Commission on the Future of Higher Education to develop a national strategy for higher education reform. This led to an increased focus on measuring value added within higher education institutions and using value-added scores to make institutional comparisons. This chapter presents a brief history of value added within the United States and presents high-level summaries of initiatives, assessments used to measure value added, and a review of how value added is measured. We also present challenges around methodology and interpretation of results. Lastly, we discuss some of the future directions in evaluating value added in higher education and areas for future research.
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Weihua Liu, Di Wang, Xuan Zhao, Cheng Si and Ou Tang
The purpose of this paper is to analyze the influencing factors of new logistics service product design (NLSPD) in China to establish a theoretical framework for the future…
Abstract
Purpose
The purpose of this paper is to analyze the influencing factors of new logistics service product design (NLSPD) in China to establish a theoretical framework for the future development of the logistics industry.
Design/methodology/approach
The paper adopts the multi-case study method based on a sample of four Chinese logistics enterprises, in which the authors consider the logistics service maturity (LSM), a distinct characteristic of logistics enterprises.
Findings
NLSPD is directly related to the degree of supply–demand matching (SDM) and LSM. Customer demand, service capability and peer competition influence the performance of NLSPD through the SDM degree, whereas LSM moderates these influencing mechanisms. Moreover, the degree of SDM has a positive impact on LSM.
Practical implications
The findings can help the managers of logistics enterprises and practitioners in the logistics industry understand the complexity of NLSPD. First, they should broaden and deepen their service offering to enhance the degree of LSM. Second, they should pay attention to the factors that affect SDM systematically. Finally, it is vital to balance the relationship between LSM and SDM.
Originality/value
NLSPD has become an important tool affecting the competitiveness and sustainability of logistics service enterprises. This is the first paper to propose a theoretical framework for NLSPD that considers the characteristic of the logistics industry. It clarifies the mechanisms of influencing factors, and contributes to the literature by filling the research gap.
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Muddesar Iqbal, Sohail Sarwar, Muhammad Safyan and Moustafa Nasralla
The purpose of this study is to present a systematic and comprehensive review of personalized, adaptive and semantic e-learning systems.
Abstract
Purpose
The purpose of this study is to present a systematic and comprehensive review of personalized, adaptive and semantic e-learning systems.
Design/methodology/approach
Preferred reporting items of systematic reviews and meta-analyses guidelines have been used for a thorough insight into associated aspects of e-learning that complement the e-learning pedagogies and processes. The aspects of e-learning systems have been reviewed comprehensively such as personalization and adaptivity, e-learning and semantics, learner profiling and learner categorization, which are handy in intelligent content recommendations for learners.
Findings
The adoption of semantic Web based technologies would complement the learner’s performance in terms of learning outcomes.
Research limitations/implications
The evaluation of the proposed framework depends upon the yearly batch of learners and recording is a cumbersome/tedious process.
Social implications
E-Learning systems may have diverse and positive impact on society including democratized learning and inclusivity regardless of socio-economic or geographic status.
Originality/value
A preliminary framework of an ontology-based e-learning system has been proposed at a modular level of granularity for implementation, along with evaluation metrics followed by a future roadmap.
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Zhiwei (CJ) Lin, IpKin Anthony Wong, Shuyi Kara Lin and Yun Yang
This study aims to move beyond the current understanding of corporate social responsibility (CSR) to propose the concept of just-in-time (JIT) CSR as a metaphor that reflects…
Abstract
Purpose
This study aims to move beyond the current understanding of corporate social responsibility (CSR) to propose the concept of just-in-time (JIT) CSR as a metaphor that reflects hospitality operators’ endeavors to expedite socially responsible measures to both internal and external organizational stakeholders during times when functional and emotional supports are urgently needed.
Design/methodology/approach
This research used a qualitative approach in two studies. Study 1 engaged a media analysis to better grasp the knowledge of the research problem at hand. Study 2 involved interviews from stakeholders to assess their emotions and perceptions of meanings of major contents discerned from the first study.
Findings
This research highlights a process in which operators’ CSR practices (e.g. for business practices, for organizational strategy and for stakeholder well-being) during the COVID-19 crisis are imbued with connotative meanings (e.g. place-as-safety, place-as-partnership and place-as-warmth) that ultimately give shape to three core outcomes (e.g. individual rejoinder, brand resonance and societal resilience).
Research limitations/implications
While JIT CSR is not an antidote for all devastations caused by COVID-19, it is posited as a needed mechanism that operators could use to ameliorate the situation and to go beyond their own stake to bring a broader array of societal benefits to humanity.
Originality/value
This research underscores how hospitality operators expedite crisis responses to the pandemic, and how their societal objectives transform the image of a place from a commercial venue into a place imbued with meaning associated with safety, partnership and warmth.