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

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.

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Nikolaos Pappas ◽  
Alyssa Eve Brown

PurposeThe article examines the entrepreneurial decision-making in the Greek tourism and hospitality sector during a period of an economic crisis.Design/methodology/approachThe nationwide study includes the responses of 503 entrepreneurs engaged in the Greek travel, tourism and hospitality industry. The research employs fuzzy-set Qualitative Comparative Analysis (fsQCA), and examines trust, enterprising negotiation power, tourism decision-making considerations and crisis effects. It also includes the categorical data of operational mode and company type.FindingsThe analysis has generated three different pathways for entrepreneurial decision-making during crisis in the Greek tourism and hospitality sector. These pathways are (1) crisis conditions, (2) enterprising operations and focus and (3) enterprising capabilities.Research limitations/implicationsDue to the limited employment of fsQCA in the tourism sector, its full potential is still to be explored.Practical implicationsThe study provides three different pathways that Greek tourism entrepreneurs select for their decision-making according to the characteristics of their firms and their market orientation.Originality/valueTheoretically, the study contributes by enhancing understanding of entrepreneurial decision-making during periods of crisis. In the methodological domain, the research employs fsQCA, which has only recently started to be used in tourism and hospitality, and generally the service sector.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Anna Farmaki ◽  
Nikolaos Pappas

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.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Dedong Wang ◽  
Hui Li ◽  
Yongqiang Lu

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.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Marco Opazo-Basáez ◽  
Ferran Vendrell-Herrero ◽  
Oscar F. Bustinza

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.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Esteban R. Brenes ◽  
Gabriel Rodríguez ◽  
Joseph Acuña ◽  
Yadira Villalobos ◽  
Caleb A. Pichardo

PurposeBy analyzing variables from the fields of business and neuropsychology, this document examines alternative combinations of behavioral economics and neuropsychological characteristics that would explain a successful entrepreneurial profile.Design/methodology/approachThe research is based on information gathered through a survey of 1,080 entrepreneurs. The findings offer interesting perspectives for academics, professionals and government institutions, which illustrate various neuropsychological characteristics that a person must have to be a successful entrepreneur. The method consists of a novel perspective that integrates qualitative comparative analysis (QCAs), a method based on Boolean algebra that offers a study from a configurational perspective.FindingsFrom the mixture of configurations, the paper explores following possible traits of an entrepreneurial mindset: cognitive flexibility, risk-taking, decision-making and teamwork.Originality/valueThis paper contributes to the literature on emerging attempts and approaches to understand the entrepreneurial mindset and the possible skillset that underpins successful entrepreneurship.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Christian Rainero ◽  
Giuseppe Modarelli

PurposeIn the disruptive technologies era, the lack of convincing business cases on blockchain (BC) adoption about food supply chain, the existence of uncertainties and barriers to adoption due to knowledge scarcity on characteristics as well as the potentialities and risks involved in it, have triggered the need to investigate the first multinational BC adoption for food supply chain in Europe, to consider how it can guarantee knowledge for the consumption/purchase decision-making and the creation-mechanism of consciousness for sustainable behavioral choice.Design/methodology/approachThe authors provide a field exploratory analysis based on customers' perceptions and real knowledge about BC (as a knowledge-constructive tool) in the food and beverage sector. This connected with the need for an informed context, favoring sustainable conscious decision-making related to both the food chain and innovation acceptance. This analysis included the use of innovation acceptance as a corporate social responsibility (CSR) strategic orientation through a survey- and interview-based field analysis (80 respondents).FindingsThe findings of this study can be considered as antecedents of innovation acceptance in the sector. The analysis assesses consumers' scarce knowledge and perceptions on the BC system, the scarce usage level and the higher acquiring propensity for traceable foodstuffs generating bi-directional/dimensional value, considering that consumption habits could change through security and certainty antecedents and induced knowledge provided by external technological intervention.Originality/valueBy trying to match innovation and the knowledge-construction need as a vehicle for acceptance, the theoretical contribution would empower the literature on food traceability from the perspective of strategic BC application through a from-knowledge-to-knowledge strategy.


2020 ◽  
Vol 32 (9) ◽  
pp. 2903-2923
Author(s):  
Naushad Mohamed ◽  
Babak Taheri ◽  
Anna Farmaki ◽  
Hossein Olya ◽  
Martin Joseph Gannon

Purpose This study aims to investigate the combinations of religiosity, cosmopolitanism and perceived destination image leading to satisfaction and loyalty amongst Muslim consumers within the Maldivian tourism and hospitality context. Design/methodology/approach Using fuzzy-set qualitative comparative analysis (fsQCA), this study reveals that diverse combinations of religiosity, cosmopolitanism and destination image dimensions stimulate satisfaction and loyalty in Muslim consumers. Findings Multiple recipes can be used to design compelling destinations that balance the desire for religiosity and cosmopolitanism characteristic of contemporary Muslim consumers. The results confirm the applicability of complexity theory in explaining Muslim consumer behaviour within the Islamic destination context. Practical implications Several implications for the hospitality and tourism industry are drawn from the results, with suggestions for future research provided. Each fsQCA recipe identifies distinct suggestions to shape the design of destination attributes and hospitality offerings to stimulate consumer satisfaction and loyalty. Originality/value Complexity theory was applied to assess the complex causal relationships among Muslim consumers’ religiosity, perceived destination image, cosmopolitanism, satisfaction and loyalty.


2020 ◽  
Vol 32 (2) ◽  
pp. 769-796 ◽  
Author(s):  
Hossein Olya ◽  
Timothy Hyungsoo Jung ◽  
Mandy Claudia Tom Dieck ◽  
Kisang Ryu

Purpose This paper aims to explore a complex combination of four realms of the experience economy in formulating memories and satisfaction among festival visitors by using augmented reality (AR), thus engaging visitors in the physical science experience. This study also identifies necessary conditions to achieve desired responses from visitors. Design/methodology/approach Asymmetrical modelling with fuzzy set qualitative comparative analysis (fsQCA) was used to investigate causal recipes of two configurations of the experience economy and evaluation of experience leading to both high and low scores from visitor engagement. Necessary condition analysis was applied to examine necessary predictors in visitor engagement. The proposed configuration model was tested by using data obtained from visitors to science festivals in the UK. Findings Five causal recipes explained the complex conditions in which visitors were more likely engaged in AR. Aesthetics, education, entertainment and satisfaction were necessary for high engagement among festival visitors. Research limitations/implications The results from fsQCA and analyses of necessary conditions help festival organizers improve visitor satisfaction and engagement in a memorable AR experience. Originality/value This empirical study deepens current festival understanding of how visitors experience AR by exploring combinations of complex configurations of the experience economy and evaluations of visitor experience based on memories and satisfaction. Unlike symmetrical approaches, asymmetrical modelling by using fsQCA can explore recipes for both high and low scores of visitor satisfaction and engagement. This is the first empirical study investigating necessary predictors of festival visitor behaviour.


2018 ◽  
Vol 56 (10) ◽  
pp. 2148-2171 ◽  
Author(s):  
Cristina Ponsiglione ◽  
Adelaide Ippolito ◽  
Simonetta Primario ◽  
Giuseppe Zollo

Purpose The purpose of this paper is to explore the configuration of factors affecting the accuracy of triage decision-making. The contribution of the work is twofold: first, it develops a protocol for applying a fuzzy-set qualitative comparative analysis (fsQCA) in the context of triage decision-making, and second, it studies, through two pilot cases, the interplay between individual and organizational factors in determining the emergence of errors in different decisional situations. Design/methodology/approach The methodology adopted in this paper is the qualitative comparative analysis (QCA). The fuzzy-set variant of QCA (fsQCA) is implemented. The data set has been collected during field research carried out in the Emergency Departments (EDs) of two Italian public hospitals. Findings The results of this study show that the interplay between individual and contextual/organizational factors determines the emergence of errors in triage assessment. Furthermore, there are some regularities in the patterns discovered in each of the investigated organizational contexts. These findings suggest that we should avoid isolating individual factors from the context in which nurses make their decisions. Originality/value Previous research on triage has mainly explored the impact of homogeneous groups of factors on the accuracy of the triage process, without considering the complexity of the phenomenon under investigation. This study outlines the need to consider the not-linear relationships among different factors in the study of triage’s decision-making. The definition and implementation of a protocol to apply fsQCA to the triage process in EDs further contributes to the originality of the research.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jens Mattke ◽  
Christian Maier ◽  
Tim Weitzel ◽  
Jason Bennett Thatcher

PurposeQualitative Comparative Analysis (QCA) is a promising, powerful method that is increasingly used for IS research. However, the Information Systems (IS) discipline still lacks a shared understanding of how to conduct and report QCA. This paper introduces the fundamental concepts of QCA, summarizes the status quo, and derives recommendations for future research.Design/methodology/approachA descriptive literature review in major IS outlets summarizes how and why QCA has been used in the IS discipline, critically evaluates the status quo, and derives recommendations for future QCA studies.FindingsThe literature review reveals 32 empirical research articles in major IS journals that have used the QCA method. Articles applied QCA to a broad range of research topics at the individual and organizational levels, mainly as a standalone analysis for theory development, elaboration and testing. The authors also provide evidence that most published IS research articles do not take full advantage of the potential QCA, such as analyzing necessary causal conditions or testing the robustness of QCA results. The authors provide seven actionable recommendations for future IS research using QCA.Originality/valueThe literature review assesses the status quo of QCA’s application in the IS discipline and provides specific recommendations on how IS researchers can leverage the full potential of QCA.


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