Yunyun Yu, Jiaqi Chen, Fuad Mehraliyev, Sike Hu, Shengbin Wang and Jun Liu
Although the importance and variety of emotions have been emphasized in existing literature, studies on discrete emotions remain limited. This study aims to propose a method for…
Abstract
Purpose
Although the importance and variety of emotions have been emphasized in existing literature, studies on discrete emotions remain limited. This study aims to propose a method for more precise recognition and calculation of emotions in massive amounts of online data on attraction visitor experiences and behaviour, by using discrete emotion theory.
Design/methodology/approach
Using HowNet’s word similarity calculation technique, this study integrated multiple generic dictionaries, including the sentiment vocabulary ontology database of the Dalian University of Technology, the National Taiwan University Sentiment Dictionary and the Boson Dictionary. Word2vec algorithm filters emotion words unique to hospitality and tourism in 1,596,398 texts from Sogou News, Wikipedia and Ctrip reviews about attractions, and 1,765,691 reviews about attractions in China.
Findings
The discrete sentiment dictionary developed in this study outperformed the original dictionary in identifying and calculating emotions, with a total vocabulary extension of 12.07%, demonstrating its applicability to tourism.
Research limitations/implications
The developed new dictionary can be used by researchers and managers alike to quickly and accurately evaluate products and services based on online visitor reviews.
Originality/value
To the best of the authors’ knowledge, this study is the first to construct a sentiment dictionary based on discrete emotion theory applicable to hospitality and tourism in the Chinese context. This study extended the applicability of affective psychology to hospitality and tourism using discrete emotion theory. Moreover, the study offers a methodological framework for developing a domain-specific sentiment dictionary, potentially applicable to other domains in hospitality.
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Kebing Chen, Qi Wang and Shengbin Wang
The paper aims to explore how the participants in the closed-loop supply chain (CLSC) select collecting strategies under the scenarios of information symmetry and asymmetry, and…
Abstract
Purpose
The paper aims to explore how the participants in the closed-loop supply chain (CLSC) select collecting strategies under the scenarios of information symmetry and asymmetry, and to investigate the value of corporate social responsibility (CSR) cost information for participants.
Design/methodology/approach
This paper constructs a two-echelon CLSC Stackelberg game consisting of one manufacturer and one retailer, where the manufacturer undertakes CSR and is responsible for the remanufacturing of used products. First, the authors establish two collecting models under information symmetry: manufacturer-collecting and retailer-collecting. Second, the authors construct two collecting models under information asymmetry and propose a two-part tariff contract to coordinate the participants’ profits. Finally, the authors make a numerical analysis to verify the results.
Findings
Under information symmetry, the profit of the participant who does not undertake collecting is positively related to the collecting rate, and the other participant may not benefit from the increase in the collecting rate. Under information asymmetry, the manufacturer will still select the retailer-collecting channel. Asymmetric information only affects the retailer’s selection. In addition, the manufacturer’s private CSR cost information is always valuable to the retailer.
Originality/value
This paper first explores the influence of the CSR cost information value on the selection of collecting channel under information asymmetry in the CLSC. The results can help company managers choose optimal collecting channel under information symmetry or under information asymmetry.
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Shengbin Wang, Feng Liu, Lian Lian, Yuan Hong and Haozhe Chen
The purpose of this paper is to solve a post-disaster humanitarian logistics problem in which medical assistance teams are dispatched and the relief supplies are distributed among…
Abstract
Purpose
The purpose of this paper is to solve a post-disaster humanitarian logistics problem in which medical assistance teams are dispatched and the relief supplies are distributed among demand points.
Design/methodology/approach
A mixed integer-programming model and a two-stage hybrid metaheuristic method are developed to solve the problem. Problem instances of various sizes as well as a numerical example based on the 2016 Kyushu Earthquake in Japan are used to test the proposed model and algorithm.
Findings
Computational results based on comparisons with the state-of-the-art commercial software show that the proposed approach can quickly find near-optimal solutions, which is highly desirable in emergency situations.
Research limitations/implications
Real data of the parameters of the model are difficult to obtain. Future collaborations with organizations such as Red Cross and Federal Emergency Management Agency can be extremely helpful in collecting data in humanitarian logistics research.
Practical implications
The proposed model and algorithm can help governments and non-governmental organizations (NGOs) to effectively and efficiently allocate and coordinate different types of humanitarian relief resources, especially when these resources are limited.
Originality/value
This paper is among the first ones to consider both medical team scheduling (routing) and relief aid distribution as decision variables in the humanitarian logistics field. The contributions include developing a mathematical model and a heuristic algorithm, illustrating the model and algorithm using a numerical example, and providing a decision support tool for governments and NGOs to manage the relief resources in disasters.
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Bo Yu, Shengbin Hao and Yu Wang
This study aims to explore the impact of organizational search (local and boundary-spanning search) on business model innovation (efficiency-centered/novelty-centered business…
Abstract
Purpose
This study aims to explore the impact of organizational search (local and boundary-spanning search) on business model innovation (efficiency-centered/novelty-centered business model innovation) and the moderating role of knowledge inertia between them.
Design/methodology/approach
The relationships are examined through data provided by a sample of Chinese firms and by multiple hierarchical regressions.
Findings
Local search has a stronger effect on efficiency-centered business model innovation, whereas boundary-spanning search plays a stronger role in novelty-centered business model innovation. Knowledge inertia strengthens the effect of local search on efficiency-centered business model innovation but weakens the effect of boundary-spanning search on efficiency-centered business model innovation and the effect of local search on novelty-centered business model innovation.
Practical implications
The findings enable firms’ managers to understand the subtle ways in which organizational search interacts with knowledge inertia to affect business model innovation and may help them to make knowledge management efforts to harvest the full value of organizational search.
Originality/value
Previous studies have not examined the effect of different organizational search on different business model innovation from knowledge management perspective. With knowledge inertia as the moderator, the results reveal the contingent impact mechanism of organizational search on business model innovation, the findings provide fresh evidence that can bridge the gap between knowledge management and business model innovation.
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This study aims to explore the impact of ecosystem-related digital decoupling capability (DDC) and digital integrative capability (DIC) on manufacturing firms’ radical service…
Abstract
Purpose
This study aims to explore the impact of ecosystem-related digital decoupling capability (DDC) and digital integrative capability (DIC) on manufacturing firms’ radical service innovation (RSI) and the moderating effect of strategic flexibility, specifically resource flexibility (RF) and culture flexibility (CF).
Design/methodology/approach
This study employed empirical survey data collected from 238 Chinese manufacturing firms to test all hypotheses through hierarchical multiple regression analyses.
Findings
DDC and DIC have positive effects on RSI, with DDC exerting a stronger impact. RF and CF strengthen the positive effect of DIC on RSI, whereas CF diminishes DDC’s positive effect on RSI, and RF does not moderate this effect.
Practical implications
Manufacturing firms should prioritize developing ecosystem-related DDC and DIC to drive RSI, especially DDC. Managers should improve firms’ RF and CF when leveraging DIC to drive RSI. However, they should minimize the negative impact of CF when leveraging DDC to drive RSI.
Originality/value
This study shifts the service innovation capabilities from the firm to the ecosystem level, opening a new perspective for exploring RSI’s driving mechanism. With RF and CF as the moderators, the findings reveal the contingent impact mechanism of ecosystem-related digital capabilities on RSI, which provides profound insights into the complex role of strategic flexibility in the new contexts.
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Despite a growing number of manufacturing firms actively collaborating with ecosystem members aiming for advanced service solutions, it remains unclear how digital collaboration…
Abstract
Purpose
Despite a growing number of manufacturing firms actively collaborating with ecosystem members aiming for advanced service solutions, it remains unclear how digital collaboration capability (DCC) affects incremental service innovation (ISI) and radical service innovation (RSI) in the context of ecosystems. Drawing on dynamic capabilities theory and resource orchestration theory, this study aims to investigate the impacts of DCC on ISI/RSI and examine the mediating role of organizational agility (OA).
Design/methodology/approach
In this empirical paper, the authors obtained questionnaire data from 238 Chinese manufacturing firms embedded in the ecosystems. Then, the authors examined all the hypotheses through hierarchical regression analyses.
Findings
The empirical evidence indicates that DCC has a distinct effect on ISI and RSI. DCC positively affects ISI, whereas DCC shows an inverted U-shaped effect on RSI. In addition, OA mediates the positive effect of DCC on ISI within a certain range, whereas OA always mediates the inverted U-shaped effect of DCC on RSI.
Originality/value
This study enriches and extends existing research on DCC and service innovation by elucidating the heterogeneous effects of DCC on ISI/RSI and the complicated mediating role of OA. This study also has practical implications for manufacturing firms to revisit their collaboration capability and agility to boost ISI/RSI in the context of ecosystems.
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Shengbin Ma, Zhongfu Li, Long Li and Mengqi Yuan
The coordinated development of the urbanization and construction industry is crucial for the sustainable development of cities. However, the coupling relationship and coordination…
Abstract
Purpose
The coordinated development of the urbanization and construction industry is crucial for the sustainable development of cities. However, the coupling relationship and coordination mechanism between them remain unclear. To bridge this gap, this study attempts to explore the level of coupling coordination between new urbanization and construction industry development and investigate the critical driving factors influencing their coupling coordination degree.
Design/methodology/approach
By referring to the existing literature, two index systems were established to evaluate the development level of the new urbanization and construction industry. The spatiotemporal characteristics of the coupled coordinated development of the new urbanization and construction industry in China from 2014 to 2020 were investigated using the coupling coordination model. The Markov chain and geographic detector were adopted to understand the transition probability and driving factors of the coupling coordination degree.
Findings
The results indicate that the coupling degree of China's new urbanization and construction industry is high, and the two systems exhibit obvious interaction phenomena. However, the construction industry in most provinces lags behind the new urbanization. A positive interactive relationship and coordination mechanism has not been established between the two systems. Furthermore, the coupling contribution degree of the driving factors from high to low is as follows: market size > labor resource concentration > government investment ability > economic development level > industrial structure > production efficiency > technology level. Accordingly, a driving mechanism including market, policy, economic, and production technology drivers was developed.
Originality/value
This study contributes to the existing body of knowledge by providing a set of scientific analysis methods to address the deficiency of coordination mechanism research on new urbanization and the construction industry. The results also provide a theoretical basis for decision makers to develop differentiated sustainable development policies.
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Shengbin Ma, Zhongfu Li and Jingqi Zhang
The waste-to-energy (WtE) project plays a significant role in the sustainable development of urban environments. However, the inherent “Not in my backyard” (NIMBY) effect presents…
Abstract
Purpose
The waste-to-energy (WtE) project plays a significant role in the sustainable development of urban environments. However, the inherent “Not in my backyard” (NIMBY) effect presents substantial challenges to site selection decisions. While effective public participation is recognized as a potential solution, research on incorporating it into site selection decision-making frameworks remains limited. This paper aims to establish a multi-attribute group decision-making framework for WtE project site selection that considers public participation to enhance public satisfaction and ensure project success.
Design/methodology/approach
Firstly, based on consideration of public demand, a WtE project site selection decision indicator system was constructed from five dimensions: natural, economic, social, environmental and other supporting conditions. Next, the Combination Ordered Weighted Averaging (C-OWA) operator and game theory were applied to integrate the indicator weight preferences of experts and the public. Additionally, an interactive, dynamic decision-making mechanism was established to address the heterogeneity among decision-making groups and determine decision-maker weights. Finally, in an intuitive fuzzy environment, an “acronym in Portuguese of interactive and multi-criteria decision-making” (TODIM) method was used to aggregate decision information and evaluate the pros and cons of different options.
Findings
This study develops a four-stage multi-attribute group decision-making framework that incorporates public participation and has been successfully applied in a case study. The results demonstrate that the framework effectively handles complex decision-making scenarios involving public participation and ranks potential WtE project sites. It can promote the integration of expert and public decision-making preferences in the site selection of WtE projects to improve the effectiveness of decision-making. In addition, sensitivity and comparative analyses confirm the framework’s feasibility and scientificity.
Originality/value
This paper provides a new research perspective for the WtE project site selection decision-making, which is beneficial for public participation to play a positive role in decision-making. It also offers a valuable reference for managers seeking to effectively implement public participation mechanisms.
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Yu Chen, Shengbin Hao and A. Li
The critical issue in financial management is investigating the role of government in an organization's economy. Governmental facilities, loans and long-term financial plans may…
Abstract
Purpose
The critical issue in financial management is investigating the role of government in an organization's economy. Governmental facilities, loans and long-term financial plans may affect the performance of financial management systems. Financial management systems may be affected by various other factors, such as organizational, technological and governmental factors. Studying and investigating the influence of organizational, technological and governmental factors on financial management systems' performance is the primary goal of this paper.
Design/methodology/approach
Financial management has always been affected by the increasing role of technology. Also, the use of financial software, the entry of computer-based computing and math planning are examples of technology entry to financial management that has led to changes in recent years. Data were collected from the insurance offices through a questionnaire. Distributed questionnaires were conducted on a Likert scale. The causal model has been appraised by the structural equation modeling (SEM) method that has been utilized to assess the validity and reliability of the model. The software has been used to evaluate the questionnaire, and the hypotheses of the research are evaluated using SPSS 22 and SMART-PLS software.
Findings
The results showed that organizational, technological and governmental factors directly affect financial management systems' performance. For this reason, the role of organizational, technological and governmental factors on the success of financial management systems in insurance companies must be considered for decision-making in the future.
Research limitations/implications
This study includes some restrictions required to be examined in assessing the outcomes. First, sample research was selected from the managers of the insurance offices in Harbin, China. So, the sample size is not big, and the generalization of the results is limited. Second, the current research might have ignored other variables, which affect the performance of financial management systems. Future researchers intend to investigate the impact of investments and projects on financial management systems' performance as a proposal. Nevertheless, the subsequent investigation can assess vital factors like investments and plans on financial management systems' performance.
Practical implications
The research also includes insurance companies and all departments and individuals associated with financial management systems somehow.
Originality/value
In the current article, the performance of financial management systems is highlighted, and the method to resolve the issue has been utilized as an experimental example. This article's introduced model supplies a comprehensive framework to investigate the impact of organizational, technological and governmental factors on financial management systems' performance.
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This chapter delves into the impact of digital initiatives on firms and sheds light on how they can be explained through market reactions and the resource/capabilities mechanism…
Abstract
This chapter delves into the impact of digital initiatives on firms and sheds light on how they can be explained through market reactions and the resource/capabilities mechanism. By providing a novel conceptual framework that reflects the potential impact of digital initiatives on the sensing, seizing and transforming capabilities of dynamic capabilities, this chapter reveals the tremendous potential of digital initiatives to help firms become more adaptive to their environment and create sustainable competitive advantages that elicit positive market responses. This conceptual framework represents an original contribution to the literature. It enhances the understanding of the resource-based view and efficient market hypothesis, providing a fresh perspective on the influence of digital initiatives on firm performance and the dynamic capabilities mechanism that has hitherto been overlooked. As a result, this chapter enables researchers to develop testable hypotheses that examine the causal relationships between digital initiatives, dynamic capabilities and market performance using robust quantitative research methods. Furthermore, this chapter offers valuable insights for managers seeking to develop a more focused approach to digital transformation and enhance their competitive advantage. By exploring the impact of digital initiatives on sensing, seizing and transforming capabilities, managers can gain a deeper understanding of how they can leverage digital initiatives to improve their organisational performance and respond more effectively to the demands of an ever-changing landscape.