scholarly journals Poverty and tourism decision-making: a chaordic perspective

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Anna Farmaki ◽  
Nikolaos Pappas
Keyword(s):  
Decision Making ◽  
Selection Process ◽  
Qualitative Comparative Analysis ◽  
Travel Behaviour ◽  
Necessary Condition ◽  
Structured Interviews ◽  
Content Type ◽  
Study Results ◽  
Destination Selection ◽  
Poverty Levels

Purpose The influence of destinations’ poverty on tourism decision-making and, more precisely, destination selection has received scant attention despite the increasing importance of poverty. The purpose of this study is to examine the combination of factors influencing tourists’ destination selection in relation to developed destinations’ rising poverty levels through the adoption of complexity theory. Design/methodology/approach This study used fuzzy-set qualitative comparative analysis to examine the combinations of factors that are significant in influencing destination selection whereas necessary condition analysis was used complementarily to evaluate the size effect of the examined conditions. Moreover, semi-structured interviews with industry stakeholders were performed to examine the relationships that describe the generated configurations. Findings In total, four solutions were generated: the cultural influence and poverty, the destination aspects, the poverty issues and the travel experience and poverty while qualitative data reveal that industry policymakers and practitioners hold different perceptions of tourists’ destination selection process. Research limitations/implications Study results show that poverty perceptions influence destination selection. Hence, poverty must be considered in travel behaviour investigations beyond the developing destination context, whereas destinations may select either one or a combination of the generated sufficient configurations when deciding on their tourism development plans. Originality/value To the best of the authors’ knowledge, this is the first study examining the effects of developed destinations’ increasing poverty levels on tourism decision-making and specifically on destination selection.

scholarly journals Risk-induced competitive productivity in times of recession: a chaordic tourism decision-making perspective

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Nikolaos Pappas ◽  
Kyriaki Glyptou
Keyword(s):  
Decision Making ◽  
Qualitative Comparative Analysis ◽  
Necessary Condition ◽  
Full Potential ◽  
Content Type ◽  
Perceived Risks ◽  
Theoretical Contribution ◽  
Complementary Method ◽  
Strong Point ◽  
Tourism And Hospitality

Purpose This study aims to explore the interface of competitive productivity (CP) levels in times of turbulence. Design/methodology/approach Drawing from a sample of 507 Athenian holidaymakers, the study uses a fuzzy-set qualitative comparative analysis (fsQCA) to examine the chaordic systems amongst perceived risks (social; destination; price; quality) in tourism purchasing intentions. It considers three grouping variables (age; monthly income; trip [domestic; overseas]). It further evaluates the effect sizes of those risks upon purchasing intentions by complementary using necessary condition analysis (NCA). Findings fsQCA revealed three sufficient configurations: price-quality nexus (micro); generated experience (meso) and perceived destination image (macro). NCA showcased that the effect size of the examined perceived risks is relatively low, while destination risks have the highest impact. Research limitations/implications Only a few studies use fsQCA and NCA in the field of tourism and hospitality studies thus, their full potential and implications of exploring the interface of tourism decision-making components with CP levels are still unexplored. Originality/value This is the first study examining the nonlinearity of risk-induced decision-making triggers of holidaymakers affected by the recession in line with the principles of CP. Its theoretical contribution lays in the exploration of the interface of CP and its three levels of application (micro [tourist], meso [firm/business], macro [destination]) in times of turbulence. Managerially, it strengthens the assumption that CP and customer loyalty are strongly associated even in times of turbulence when destinations and firms should make a strong point to maintain their competitive edge. Methodologically, the study highlights the value of fsQCA for identifying multiple pathways, a relatively new method in tourism. Furthermore, it introduces NCA, a new complementary method in tourism research.

The franchise partner selection process and implications for India

2009 ◽  
Vol 1 (1) ◽  
pp. 52-65 ◽  
Author(s):  
Tushar Vaishnav ◽  
Levent Altinay
Keyword(s):  
Decision Making ◽  
Selection Process ◽  
Partner Selection ◽  
Careful Consideration ◽  
Vice Presidents ◽  
Structured Interviews ◽  
Content Type ◽  
Selection Dynamics ◽  
Hotel Chains ◽  
Decision Making Criteria

PurposeThe purpose of this paper is to provide insights on the franchise partner recruitment process and decision‐making criteria used to select partners. It aims to investigate the process and parameters considered by franchisees in selecting potential international hotel organizations as partners. The success of such choices influences growth of the firms and consequently affecting industry and economy.Design/methodology/approachIn‐depth semi‐structured interviews with owners, directors, vice presidents and mangers of the franchisee organizations were deployed.FindingsFindings suggest that partner selection is a multidimensional activity involving several key stages. Indian franchisees use profitability, brand name, operations support as decision‐making criteria while selecting their partners.Practical implicationsDifferences occur at various stages of partner selection. A proper understanding of partner selection dynamics and careful consideration of criteria's like culture, organizational values, pricing, experience, etc. would result in a better building of relationship.Originality/valueThe paper highlights the complexity of the process and the decision‐making criteria from a franchisee's perspective. From a practical perspective, it could be of value to future and existing international hotel chains using franchising as a mode of expansion.

scholarly journals The Impact of Social Media Use on Consumers’ Restaurant Consumption Experiences: A Qualitative Study

2021 ◽  
Vol 13 (12) ◽  
pp. 6581
Author(s):  
Jooyoung Hwang ◽  
Anita Eves ◽  
Jason L. Stienmetz
Keyword(s):  
Decision Making ◽  
Social Media ◽  
Selection Process ◽  
Decision Making Process ◽  
Structured Interviews ◽  
High Standards ◽  
Tourism And Hospitality Industry ◽  
Tourism And Hospitality ◽  
Search For Information ◽  
The Impact

Travellers have high standards and regard restaurants as important travel attributes. In the tourism and hospitality industry, the use of developed tools (e.g., smartphones and location-based tablets) has been popularised as a way for travellers to easily search for information and to book venues. Qualitative research using semi-structured interviews based on the face-to-face approach was adopted for this study to examine how consumers’ restaurant selection processes are performed with the utilisation of social media on smartphones. Then, thematic analysis was adopted. The findings of this research show that the adoption of social media on smartphones is positively related with consumers’ gratification. More specifically, when consumers regard that process, content and social gratification are satisfied, their intention to adopt social media is fulfilled. It is suggested by this study that consumers’ restaurant decision-making process needs to be understood, as each stage of the decision-making process is not independent; all the stages of the restaurant selection process are organically connected and influence one another.

Has Lean improved organizational decision making?

2016 ◽  
Vol 29 (5) ◽  
pp. 536-549 ◽  
Author(s):  
Pascale Simons ◽  
Jos Benders ◽  
Jochen Bergs ◽  
Wim Marneffe ◽  
Dominique Vandijck
Keyword(s):  
Decision Making ◽  
Design Methodology ◽  
Lean Management ◽  
Structured Interviews ◽  
Organizational Decision Making ◽  
Content Type ◽  
Organizational Contexts ◽  
Sustainable Improvement ◽  
Care Processes ◽  
Practical Implications

Purpose – Sustainable improvement is likely to be hampered by ambiguous objectives and uncertain cause-effect relations in care processes (the organization’s decision-making context). Lean management can improve implementation results because it decreases ambiguity and uncertainties. But does it succeed? Many quality improvement (QI) initiatives are appropriate improvement strategies in organizational contexts characterized by low ambiguity and uncertainty. However, most care settings do not fit this context. The purpose of this paper is to investigate whether a Lean-inspired change program changed the organization’s decision-making context, making it more amenable for QI initiatives. Design/methodology/approach – In 2014, 12 professionals from a Dutch radiotherapy institute were interviewed regarding their perceptions of a Lean program in their organization and the perceived ambiguous objectives and uncertain cause-effect relations in their clinical processes. A survey (25 questions), addressing the same concepts, was conducted among the interviewees in 2011 and 2014. The structured interviews were analyzed using a deductive approach. Quantitative data were analyzed using appropriate statistics. Findings – Interviewees experienced improved shared visions and the number of uncertain cause-effect relations decreased. Overall, more positive (99) than negative Lean effects (18) were expressed. The surveys revealed enhanced process predictability and standardization, and improved shared visions. Practical implications – Lean implementation has shown to lead to greater transparency and increased shared visions. Originality/value – Lean management decreased ambiguous objectives and reduced uncertainties in clinical process cause-effect relations. Therefore, decision making benefitted from Lean increasing QI’s sustainability.

Information behaviour and decision-making in patients during their cancer journey

2017 ◽  
Vol 35 (3) ◽  
pp. 494-506 ◽  
Author(s):  
Shih-Chuan Chen
Keyword(s):  
Decision Making ◽  
Cancer Patients ◽  
Information Source ◽  
Alternative Therapy ◽  
Treatment Decision ◽  
Treatment Method ◽  
Structured Interviews ◽  
Content Type ◽  
Information Behaviour ◽  
Treatment Decision Making

Purpose This paper aims to investigate the effect of cancer patients’ information behaviour on their decision-making at the diagnosis and treatment stages of their cancer journey. Patients’ information sources and their decision-making approaches were analyzed. Design/methodology/approach Semi-structured interviews were conducted with 15 participants. Findings The cancer patients sought information from various sources in choosing a hospital, physician, treatment method, diet and alternative therapy. Physicians were the primary information source. The patients’ approaches to treatment decision-making were diverse. An informed approach was adopted by nine patients, a paternalistic approach by four and a shared decision-making approach by only two. Practical implications In practice, the findings may assist hospitals and medical professionals in fostering pertinent interactions with patients. Originality/value The findings can enhance researcher understanding regarding the effect of cancer patients’ information behaviour on their decision-making.

ERP software selection using intuitionistic fuzzy and interval grey number-based MACBETH method

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mustafa Said Yurtyapan ◽  
Erdal Aydemir
Keyword(s):  
Decision Making ◽  
Fuzzy Set ◽  
Selection Process ◽  
Intuitionistic Fuzzy Set ◽  
Decision Makers ◽  
Software Selection ◽  
Content Type ◽  
Intuitionistic Fuzzy ◽  
Expert Opinions ◽  
Erp Software

PurposeEnterprise Resource Planning (ERP) software which is a knowledge-based design on the interconnective communication of business units and information share, ensures that business processes such as finance, production, purchasing, sales, logistics and human resources, are integrated and gathered under one roof. This integrated system allows the company to make fast and accurate decisions and increases its competitiveness. Therefore, for an enterprise, choosing the suitable ERP software is extremely important. The aim of this study is to present new research on the ERP software selection process by clarifying the uncertainties and find suitable software in a computational way.Design/methodology/approachERP selection problem design includes uncertainties on the expert opinions and the criteria values using intuitionistic fuzzy set theory and interval grey-numbers to MACBETH multi criteria decision making method. In this paper, a new interval grey MACBETH method approach is proposed, and the degree of greyness approach is used for clarifying the uncertainties. Using this new approach in which grey numbers are used, it is aimed to observe the changes in the importance of the alternatives. Moreover, the intuitionistic fuzzy set method is applied by considering the importance of expert opinions separately.FindingsThe proposed method is based on quantitative decision making derived from qualitative judgments. The results given under uncertain conditions are compared with the results obtained under crisp conditions of the same methods. With the qualitative levels of experts reflected in the decision process, it is clearly seen that ERP software selection problem area has more effective alternative decision solutions to the uncertain environment, and decision makers should not undervalue the unsteadiness of criteria during ERP software selection process.Originality/valueThis study contributes to the relevant literature by (1) utilizing the MACBETH method in the selection of the ERP software by optimization, and (2) validating the importance of expert opinions with uncertainties on a proper ERP software selection procedure. So, the findings of this study can help the decision-makers to evaluate the ERP selection in uncertain conditions.

Factors affecting transaction costs in megaprojects: a qualitative comparative analysis

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Dedong Wang ◽  
Hui Li ◽  
Yongqiang Lu
Keyword(s):  
Comparative Analysis ◽  
Transaction Costs ◽  
Qualitative Comparative Analysis ◽  
Asset Specificity ◽  
Necessary Condition ◽  
Content Type ◽  
Factors Affecting ◽  
Relational Contract ◽  
Factors Influencing ◽  
Project Costs

PurposeThe purpose of this study is to examine the factors influencing the transaction costs (TCs) in megaprojects to provide a basis for controlling project costs.Design/methodology/approachThis study selects six factors influencing the TCs in megaprojects from the perspective of TC theory and relational contract theory (RCT) through literature review. On the basis of crisp-set qualitative comparative analysis (QCA), this study tests combined factors influencing the TCs and the interaction between them.FindingsResults show that in megaprojects, TCs are affected by combination factors. The combination of asset specificity, uncertainty, transaction frequency and trust and the combination of asset specificity, reputation and trust will control TCs in certain situations. In the configuration leading to high project TCs, the combination of environmental and behavioral uncertainties is a necessary condition.Originality/valueThis paper fills up the research gap in the field of megaproject TCs, and researchers can focus on this field in the future.

Digital service innovation: a paradigm shift in technological innovation

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Marco Opazo-Basáez ◽  
Ferran Vendrell-Herrero ◽  
Oscar F. Bustinza
Keyword(s):  
Technological Innovation ◽  
Qualitative Comparative Analysis ◽  
Service Innovation ◽  
Manufacturing Firms ◽  
Manufacturing Industries ◽  
Necessary Condition ◽  
Content Type ◽  
Digital Service ◽  
Product Innovations ◽  
Computer Based

PurposeExisting innovation frameworks suggest that manufacturing firms have traditionally developed a complementary model of technological innovations comprising process and product innovations (e.g. Oslo Manual). This article presents digital service innovation as a novel form of technological innovation that is capable of enhancing the performance of firms in certain manufacturing industries.Design/methodology/approachDrawing on technological innovation and digital servitization fields of research, this study argues that digital service innovation, in manufacturing contexts, complements traditional sources of technological innovation, so increasing the profit margins of firms. This effect is significant in industries characterized by business-to-business contexts, high presence of link channels and long product life spans (e.g. manufacturing and computer-based industries). Predictions are tested on a unique sample of 423 Spanish manufacturing firms using parametric (t-test) and nonparametric (fuzzy-set qualitative comparative analysis, fsQCA) approaches.FindingsThe results of this analysis show that a necessary condition so that manufacturing firms can increase profits is the deployment of simultaneous process and product innovations. It also reveals that optimal configuration requires that digital service innovation be undertaken, particularly in machinery and computer-based manufacturing industries. Hence, all three sources of technological innovation are brought together in order to reach the highest levels of company performance. The evidence suggests that technological innovation and digital servitization are closely interrelated in highly innovative manufacturing contexts.Originality/valueThis study's originality and value reside in the fact that it reveals the existence of firms incorporating digital service innovation – a new, technological innovation dimension that challenges existing innovation frameworks – to complement traditional technological innovation sources, namely process and product innovation. Moreover, the study conceptualizes and empirically tests the value-adding role of digital services in firms' technological innovation portfolio.

Comparative CSR decision-making in the Middle East: an exploratory study

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Pierre El Haddad ◽  
Alexandre Anatolievich Bachkirov ◽  
Olga Grishina
Keyword(s):  
Decision Making ◽  
Middle East ◽  
Middle Eastern ◽  
Structured Interviews ◽  
Managerial Decision ◽  
Content Type ◽  
Nodal Model ◽  
Comparative Csr ◽  
High Level ◽  
Corporate Social

Purpose This study aims to explore the commonalities and differences of corporate social responsibility (CSR) perceptions among business leaders in Oman and Lebanon, two Middle Eastern countries forming a comparative dyad with a high level of cultural variance within the Arab cluster. Design/methodology/approach Semi-structured interviews were used to elicit qualitative data that were analyzed by means of multilevel analysis. Findings The findings provide empirical evidence that CSR is a powerful factor in managerial decision-making in the Middle East with the national cultures of Oman and Lebanon exerting partially differing effects on CSR decision-making. Practical implications The study enlightens practicing managers and policymakers in terms of the salience of multiple actors’ influence on CSR decision-making processes and the responses they may receive when developing and implementing CSR initiatives in the Middle East. Originality/value The study proposes a seven nodal model, which captures the flow of CSR decision-making in the research contexts.

scholarly journals Construction of capital procurement decision making model to optimize supplier selection using Fuzzy Delphi and AHP-DEMATEL

2018 ◽  
Vol 25 (5) ◽  
pp. 1528-1547 ◽  
Author(s):  
Anil Kumar ◽  
Amit Pal ◽  
Ashwani Vohra ◽  
Sachin Gupta ◽  
Suryakant Manchanda ◽  
...  
Keyword(s):  
Decision Making ◽  
Automobile Industry ◽  
Supplier Selection ◽  
Selection Process ◽  
Strategic Decision ◽  
Extensive Literature ◽  
Content Type ◽  
Fuzzy Delphi ◽  
Selection For ◽  
Decision Making Model

Purpose Supplier selection for capital procurement is a major strategic decision for any automobile company. The decision determines the success of the company and must be taken systematically with the utmost transparency. The purpose of this paper is to construct capital procurement decision-making model to optimize supplier selection in the Indian automobile industry. Design/methodology/approach To achieve the stated objective, a combined approach of fuzzy theory and AHP-DEMATEL is applied. Evaluation parameters are identified through an extensive literature review and criteria validation has been introduced through a Fuzzy Delphi method by using fuzzy linguistic scales to handle the vagueness of information. AHP is employed to find the priority weight of criteria, although an inter-relationship map among criteria is not possible through AHP alone since it considers all criteria as independent. To overcome this, DEMATEL is used to establish cause-effect relationships among criteria. Findings The results show that the total cost of ownership (TOC) is the first weighted criterion in supplier selection for capital procurement, followed by manufacturing flexibility and maintainability, then conformity with requirement. The cause-effect model shows that supplier profile, TOC, service support and conformity with requirement are in the cause group and are considered to be the most critical factors in selecting the supplier. Originality/value The study’s outcome can help the automobile industry to optimize their selection process in selecting their suppliers for capital procurement; the proposed model can provide guidelines and direction in this regard.

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