Danping Liu, Hedan Fang, Mei Huang, Changchun Jiang and Jingchen Ma
Encouraging green consumption is a proven strategy for supporting destination sustainability. Nonetheless, extant research approaches destination sustainability mainly from an…
Abstract
Purpose
Encouraging green consumption is a proven strategy for supporting destination sustainability. Nonetheless, extant research approaches destination sustainability mainly from an economic perspective. In this study, we explore the effectiveness of destination social responsibility (DSR) as a way to encourage green consumption among tourists from a social interaction perspective.
Design/methodology/approach
We used a mixed-method approach with two studies (i.e. a scenario experiment and a survey) to test our hypotheses. The scenario experiment included four versions of a narrative scenario with 40 samples each, and 421 valid questionnaires were obtained in the survey.
Findings
Our findings indicate that there is a significant relationship between DSR and green pressure. And DSR positively influences tourists’ green product purchase behavior (GPB). Tourists who have a high fear of negative evaluation (FNE) experience more pressure when exposed to DSR than those with low FNE.
Originality/value
This study sheds light on the mechanisms through which DSR influences tourists’ GPB from a stress transaction perspective and also offers practical implications for tourism marketing and destination management.
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Bariş Özkan, Eren Özceylan, I.brahim Halil Korkmaz and Cihan Çetinkaya
The purpose of this study is to measure the R&D performance of 81 cities in Turkey by using a scientific approach.
Abstract
Purpose
The purpose of this study is to measure the R&D performance of 81 cities in Turkey by using a scientific approach.
Design/methodology/approach
A four-step solution approach is developed for this problem. In the first step, a hierarchical structure of 14 indicators (including number of patents, publications, R&D expense, etc.) in three dimensions is constructed. In the second step, explicitly and implicitly spatial indicators such as university location and R&D manpower are mapped by using geographic information system (GIS). In the third step, a hybrid multi-criteria decision making model, namely, DANP that combines decision-making trial and evaluation laboratory (DEMATEL) and analytic hierarchy process (ANP) techniques is applied to assign different level of importance to the indicators. In the last step, Višekriterijumska Optimizacijai kompromisno Rešenje (VIKOR) method is used to rank the performance of 81 cities. Obtained results are visualized using GIS to show the pros and cons of each city in terms of R&D performance.
Findings
Results of the paper show that Istanbul, Ankara and Konya are ordered as contenders of best R&D performances and on the contrary, Igdir, Sirnak and Tunceli are ordered as the worst R&D performances among 81 cities.
Research limitations/implications
One limitation of the study can be the considered criteria. However, all the criteria are obtained from literature and experts; thus, the paper covers as much criteria as possible.
Practical implications
The proposed study may allow Ministry of Science, Industry and Technology of Turkey to formulate more effective strategies to improve cities’ R&D performance. In addition, any country can apply the same methodology for measuring the R&D performance of their cities by using their related data. As the worst R&D city performances belong to the eastern part of Turkey, it can be deducted that the socio-cultural structure of the eastern part of the country needs improvement.
Originality/value
To the best of the author’s knowledge, this is the first study which applies a GIS-based MCDM approach for R&D performance measurement. Thus, the value of this paper belongs to both literature and real life.
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Jau Yang Liu, William Shiue, Fu Hsiang Chen and Ai Ting Huang
Corporate social responsibility has gradually become an essential enterprise responsibility under stakeholders’ expectations. Employee care strategies involve both qualitative and…
Abstract
Purpose
Corporate social responsibility has gradually become an essential enterprise responsibility under stakeholders’ expectations. Employee care strategies involve both qualitative and quantitative factors and are receiving special attention with the advent of the information age. In previous studies, a company’s policy of employee care may not fit with the needs of the employees. Consequently, the purpose of this paper is to investigate enterprises’ employee care from the employee’s perspective by adopting a hybrid multiple attribute decision making (MADM) model.
Design/methodology/approach
This study is based on 159 interviews with senior employees and/or department managers using a survey questionnaire. This study uses the MADM model to conduct the analysis. First, this research study used Decision-Making Trial and Evaluation Laboratory (DEMATEL) to construct an influential network relations map of the 4 dimensions and 13 criteria of employee care. Second, this study uses DEMATEL-based Analytic Network Process to conduct a weight analysis for each dimension and criterion. Third, this study uses VIKOR to calculate employees’ level of satisfaction as well as the gap from the “aspired level.”
Findings
The results of the study revealed the critical factors influencing employee care and proposed a systematic plan to be used as a reference for improvement. The improvement sequence revealed the following order: Equal employment opportunities→Good industrial relations and benefits→Responsibility to train and educate employees→Occupational health and safety. The empirical results showed there was still 35 percent room for improvement in the enterprises’ implementation policy of employee care.
Originality/value
The implementation of employee care has become an important issue for corporations since it helps to sustain and to increase an enterprise’s competitiveness in the business environment. However, the extant literature on employee care comes from enterprises’ perspectives instead of from employees’ perspectives. This research investigates the key factors of employee care and successfully shows MADM to be an effective model for the planning and implementation of corporate social responsibilities’ employee care from the perspective of employees.
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Tingting Liu, Danping Shao, Yulei Li, Chang-E Liu and Wei He
Despite an emerging interest in constructive deviance, the exploration of its antecedents is still limited, particularly from an ethical perspective. This study aims to uses moral…
Abstract
Purpose
Despite an emerging interest in constructive deviance, the exploration of its antecedents is still limited, particularly from an ethical perspective. This study aims to uses moral disengagement theory to investigate how team identification, moral justification and team environmental instability interact to affect employee constructive deviance.
Design/methodology/approach
With survey data collected in two waves from 315 employees of 49 work teams in five service companies in China, this study develops four hypotheses and tests them through hierarchical linear model.
Findings
The survey results support the complete mediating effect of moral justification on the positive impact of team identification on constructive deviance. They also confirm the moderating effect of environmental instability on the relationship between team identification, moral justification and constructive deviance.
Originality/value
This study explores the sources of constructive deviance at team level from the ethical decision-making perspective and reveals the mechanism and contingency factors in the relationship between identity and constructive deviance. In practice, the study findings imply that managers should encourage their employees to cultivate their identification with their team and align their moral justification with the team’s norms especially when the team faces turbulent environment.
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Avirag Bajpai, Subhas Chandra Misra and Dong-Young Kim
The purpose of this research article is to investigate the critical risk factors associated with the digitalization impact on the Indian construction industry, as these firm plans…
Abstract
Purpose
The purpose of this research article is to investigate the critical risk factors associated with the digitalization impact on the Indian construction industry, as these firm plans to implement digitalization in order to improve their construction management processes.
Design/methodology/approach
In this research article, risk factors and dimensions are taken from diverse industries and validated in the construction domain by industry and academic experts. Further, multi-criteria decision-making techniques are employed to assess the Indian construction sector scenario quantitatively. The interrelationship and weightage of risk factors and dimensions are determined by the Fuzzy Decision-making Trial and Evaluation Laboratory Analytic Network Process (DANP) method. However, the method Grey Technique for the Order of Prioritization by Similarity to Ideal Solution (TOPSIS) is used to determine the ranking of each risk factor.
Findings
This study finds 14 critical risk factors along with four risk dimensions. Operational and financial dimensions are significant risk dimensions. Whereas the threat of high outlay and low yield is a significant risk factor in construction. Besides that, the interrelationship among risk factors, the weightage of each factor and the ranking of critical risk factors are also identified.
Research limitations/implications
This research article uses Fuzzy DANP and Grey TOPSIS techniques as exploratory research methods with a limited group of construction professionals from a leading Indian construction firm. Furthermore, comprehensive confirmatory research can also be performed with a large group of construction experts using advanced analytical techniques to validate the ranking of critical risk factors.
Practical implications
The findings of this study provide insight into the knowledge of construction firms by emphasizing significant risk factors related to digitalization in construction operations. Another finding of this study shows that the risks associated with digitalization in construction are similar to those in manufacturing, where high outlay and low yield hold a significant role in the transformation process.
Originality/value
The research is unique since there have only been limited studies in the Indian construction scenario to analyze the significant risks associated with digitalization. Furthermore, this study demonstrates that the combination of Fuzzy DANP and Grey TOPSIS techniques may be used successfully to prioritize risks in construction digitalization, which is still in its early phases.
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Ali Asghar Abbassi Kamardi and Sina Sarmadi
The decision to become international is a highlighted organisational decision that affects all dimensions at all firm levels. Human resources are also among the parts of the…
Abstract
The decision to become international is a highlighted organisational decision that affects all dimensions at all firm levels. Human resources are also among the parts of the organisation affected by this decision. Paying attention to employees can speed up and facilitate this process. Organisational integrity is one of the most significant issues that must be considered. In this regard, identifying, investigating and planning to deal with the destructive effects that may influence the employees of small and medium-sized enterprise (SMEs) in internationalisation, are among the subjects that have so far received less attention and should be studied more. The present study explores the destructive influences of internationalisation on the employees of SMEs by a hybrid multi-layer decision-making model-psychological solution. First, by reviewing the literature, the destructive impacts of internationalisation on employees are extracted. In the next stage, these factors are screened according to the condition of the SMEs in an emerging economy by interval-valued intuitionistic hesitant fuzzy Delphi (IVIHF-Delphi). The impact of these factors on each other is then evaluated applying interval-valued intuitionistic hesitant fuzzy DEMATEL-based ANP (IVIHF-DANP). Consequently, the highlighted destructive impacts are determined and the psychological solutions to face them are provided.
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Ming Liu, Jun Li, Danping Li and Lierui Zheng
At present, carbonated drinks such as cola are especially favored by the younger generation. But because of its acid, it often leads to tooth demineralization, resulting in “cola…
Abstract
Purpose
At present, carbonated drinks such as cola are especially favored by the younger generation. But because of its acid, it often leads to tooth demineralization, resulting in “cola tooth”. However, the influence of cola on the corrosion resistance of passive film of TiA10 alloy restorative materials is rarely reported. The purpose of this study was to analysis the corrosion resistance, composition of the passive film of TA10 alloy in different concentrations of Cola.
Design/methodology/approach
The passive behavior of TA10 alloy in artificial saliva (AS) and Cola was studied by means of potentiodynamic polarization, electrochemical impedance spectroscopy, cyclic voltammetry, Mott-Schottky techniques and combined with X-ray photoelectron spectroscopy and Auger electron spectroscopy (AES) surface analysis.
Findings
With the increase of cola content, the self-corrosion current density of the alloy increases sharply, and the corrosion resistance of the passive film is the best in AS, while Rp in cola is reduced to half of that in AS. The thickness of the passive film in AS, AS +cola and cola is about 9.5 nm, 7.5 nm and 6 nm, respectively. The passive film in cola has more defects and the carrier density is 1.55 times as high as that in AS. Cola can weaken the formation process of the protected oxide, promote the formation of high valence Ti-oxides and increase the content of Mo-oxides in the passive film.
Originality/value
These results have important guiding significance for the safe use of the alloy in the complex oral environments.
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Sanaz Vatankhah, Mahlagha Darvishmotevali, Roya Rahimi, Seyedh Mahboobeh Jamali and Nader Ale Ebrahim
Multi-criteria decision-making (MCDM) techniques are decision support systems that provide systematic approaches to solve hospitality and tourism (H&T) problems while minimizing…
Abstract
Purpose
Multi-criteria decision-making (MCDM) techniques are decision support systems that provide systematic approaches to solve hospitality and tourism (H&T) problems while minimizing the risk of failure. However, less is known about the application of MCDM techniques in H&T research. This study aims to systematically assess the use of MCDM techniques in H&T research to classify its current application and determine its application potential for H&T research.
Design/methodology/approach
This study used bibliometric analysis to examine all published MCDM studies focused on H&T industries, since 1997. In addition, topic modelling was used to discover key concepts. Finally, top cited studies in terms of total citations per year and total citations were qualitatively reviewed for more insights.
Findings
The findings revealed an ongoing interest in applying MCDM techniques in H&T research. Specifically, the extension of fuzzy theory in MCDM techniques is burgeoning among H&T researchers. However, a certain number of MCDM techniques seem to be ignored in this field with a repetitive application of MCDM techniques in particular areas.
Research limitations/implications
The data for the current research was solely retrieved from Scopus and other databases were not included. Therefore, future research is called for to re-examine the study by considering data from various databases.
Originality/value
This study contributes to extant H&T literature by identifying the most prolific and influential countries, journals, publications and trends by applying MCDM techniques in H&T research, and elucidating the implications and characteristics of MCDM techniques in H&T research.
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Aditya Kamat, Saket Shanker and Akhilesh Barve
The purpose of this paper is to analyze the factors affecting the implementation of unmanned aerial vehicles (UAVs) in Indian humanitarian logistics. The factors listed are…
Abstract
Purpose
The purpose of this paper is to analyze the factors affecting the implementation of unmanned aerial vehicles (UAVs) in Indian humanitarian logistics. The factors listed are significant as they are hindering the incorporation of this new technology into the humanitarian supply chain, thus creating inefficiencies in the humanitarian logistics sector.
Design/methodology/approach
This research is approached using a two-step process. In the first step, the particular barriers for UAV implementation are determined by a literature review and consultation with experts. Next, the proposed framework, a combination of grey-decision-making trial and evaluation laboratory (grey-DEMATEL) and analytic network process (ANP), i.e. g-DANP, is used to determine a hierarchical structure for the factors and sub-factors. The grey hypothesis provides sufficient analytical data to an otherwise lacking DEMATEL technique. Also, the use of ANP gives weightage to each factor, allowing us to categorize their importance further.
Findings
This study reveals that factors like expensive commercial solutions and high transport energy costs are significant factors of the “cause” group, whereas the uncertain cost for maintenance and repair and deficiency of high-level computing are crucial factors of the “effect” category. The mentioned factors, along with many others, are the main reasons for the delayed incorporation of UAVs in humanitarian logistics.
Practical implications
The results of this study present insights for humanitarian supply chain managers, UAV producers and policymakers. Those in the humanitarian logistics sector can use the findings of this study to plan for various challenges faced as they try and implement UAVs in their supply chain.
Originality/value
This research is unique as it analyses the general factors hindering the implementation of UAVs in Indian humanitarian logistics. The study enriches existing literature by providing an analytic approach to determine the weightage of various interrelations between the identified factors affecting UAV incorporation in the humanitarian supply chain.
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Rohit Titiyal, Sujoy Bhattacharya and Jitesh J. Thakkar
E-fulfillment has a significant role to play within e-tailing, which provides products to a customer, comprising primarily of five components: website quality, customization…
Abstract
Purpose
E-fulfillment has a significant role to play within e-tailing, which provides products to a customer, comprising primarily of five components: website quality, customization strategy, distribution strategy, last mile delivery and return management. The purpose of this paper is to provide an e-fulfillment performance evaluation framework for an e-tailer, considering the different performance aspects of information systems (IS), marketing and operations for e-tailers.
Design/methodology/approach
Since quite a few performance aspects (i.e. IS, marketing system and operations) need to be factored in while evaluating the e-fulfillment performance, it may be considered as a complex multi-criteria decision-making problem. This study used decision-making trial and evaluation laboratory (DEMATEL) based analytic network process (DANP) to investigate the relationship between performance class and performance aspects, and calculated their weights. These designated weights of performance aspects help managers to find the important aspects needing improvement. The understanding of the interrelationship among the performance aspects enables managers to improve the efficiency of an e-tailing system.
Findings
This study provides the e-fulfillment performance evaluation framework to find the important aspects requiring improvement. The results of this study reveal that the important performance aspects of e-fulfillment performance are return policy, pickup method, innovativeness, assortment type, assortment width, trust (privacy and security) and promised delivery date.
Practical implications
This e-fulfillment performance evaluation could be used by an e-tailer to assess the e-fulfillment performance, and identify areas of improvement.
Originality/value
This study makes a contribution to the present body of knowledge by considering operations related performance aspects except the IS and marketing to evaluate the e-fulfillment performance.