Family Identity Bundles and Holiday Decision Making

2020 ◽  
pp. 004728752093009
Author(s):  
Yi Wang ◽  
Mimi Li

As the main contributor to leisure vacations, family travel is an important topic in academia; however, limited tourism research has addressed the subject. Most family travel studies have focused on who makes the decision with comparatively little attention paid to how. The present study argues that family travel decision making is determined by interactions between different individual, relational, and family identities using various communication approaches. Based on the family identity bundle framework, this research employs a longitudinal qualitative approach to examine 28 Chinese families’ summer holiday decision-making processes. The results indicate that two moderators (relationships with extended family and involvement in social groups through social media) strengthen the influence of identity bundles on decision making, as do different communication forms on decisions. Findings from this study contribute to the body of knowledge on family tourism decision making and provide suggestions for family tourism promotion.

2019 ◽  
Vol 9 (2) ◽  
pp. 43-61 ◽  
Author(s):  
Sérgio Guerreiro

Decision-making processes are the utmost important to steer the organizational change whenever business process workarounds are attempted during operational times. However, to decide the non-compliant situations, e.g., bypasses, social resistance, or collusion; the business manager demands contextualized and correct interpretations of the existing business process redesign options to cope with workarounds. This article explores the need to aid the decision-making process with a full constructional perspective to optimize the business processes redesign. So, the Markov decision process is combined with the body of knowledge of business processes, in specific, the concepts of designing enterprise-wide business transactions. This methodology supports the management initiatives with more knowledge about the value of business processes redesign. A classical chain of Order-to-Cash business processes (the order, the production, the distribution and the selling of goods) illustrate the benefits of this quantitative approach. Results obtained for business processes redesign in reaction to workarounds are reported. The analysis results show that this approach can anticipate the sub-optimal solutions before taking actions and highlights the impact of discount factors in the final obtained value. The contribution of this novel conceptual integration to the business processes community is the forecast of value function of business transaction redesign options when facing non-compliant workarounds. From related literature, business processes compliance usually comprises offline computation and the redesign is only considered in the forthcoming business processes instances. This article is innovative in the sense that it anticipates the value impact of a redesign, allowing more effective decisions to be taken.


2021 ◽  
Vol 6 (22) ◽  
pp. 189-196
Author(s):  
Ani Munirah Mohamad ◽  
Ibrahim Sule

In this era of internet-of-things whereby the ICT, internet, and other associated gadgets and technologies are tremendously affecting our lives, there is no gainsaying that these ‘disruptive’ technologies have contributed greatly to improve the pace of justice delivery all over the world. With the recent outbreak of COVID-19 all over the world, technological adoption has enhanced further. Within the context of the courts, many countries have embraced the use of ICT and the internet in their justice delivery system consequent upon which thousands of mobile phone applications and computer hardware and software are being developed. Court Rules were amended to provide for these changes and further institutionalise these changes. This conceptual paper provides insights and experiences on how ICT-enabled applications impact the decision-making processes by the courts in Malaysia and Nigeria. Hopefully, the paper would contribute to the body of knowledge on ICT adoption studies in general, and e-courts and e-justice systems in particular.


2021 ◽  
Author(s):  
Aaron Greenhouse-Tucknott ◽  
James Graeme Wrightson ◽  
Sam Berens ◽  
Jeanne Dekerle ◽  
Neil Andrew Harrison

Introduction: Protracted physical exertion leads to the development of fatigue. The development of fatigue has previously been associated with increased effort costs, influencing decisions to engage in further physical activity. However, whether fatigue-associated changes to effort-based decisions are reflective of a global aversion to effort in response to fatiguing physical exertion, affecting the decision to engage in physical action performed in other parts of the body, is unclear. Methods: To investigate this, we tested whether effort-based choice behaviour was altered by fatigue, pre-induced through physical exertion of a different body part. Twenty-two healthy male participants made a series of choices between two rewarded actions, which varied in both the level of effort required (relative duration of a submaximal contraction of the dominant knee extensors) and reward obtained (monetary incentives). Participants made their choice under two conditions: 1) a pre-induced state of fatigue and 2) a rested (control) state. Results: Across conditions, participants’ choice behaviour demonstrated the anticipated aversion to effort that interacted with the level of reward on offer. However, though prior physical exertion increased the perception of fatigue, prolonged choice selection-time and reduced self-reported confidence in ability to perform chosen effort-demanding actions, participants choice behaviour did not significantly differ between the two conditions. Conclusions:. The findings suggest that a subjective state of fatigue does not increase the general cost of exerting effort across the body but does increase uncertainty within decision-making processes which may alter evaluative processes that precede changes in cost/benefit computations.


2017 ◽  
Vol 57 (5) ◽  
pp. 687-701 ◽  
Author(s):  
SoJung Lee ◽  
HakJun Song ◽  
Choong-Ki Lee ◽  
James F. Petrick

This study integrated the Model of Goal-directed Behavior (MGB) and the Attention, Interest, Desire, and Actions (AIDA) model into a conceptual framework to examine how pop culture influences decisions to visit a pop culture–featured destination. Findings revealed that visit intentions were significantly influenced by variables in the two models (MGB and AIDA), highlighting that attention to pop culture and positive anticipated emotions played important roles in unifying them. Results suggest that the integrated framework offers a comprehensive and coherent perspective on the complicated decision-making process of pop culture fans, which enhances the explanatory power for predicting future intentions. Thus, this paper offers an innovative approach to integrating models from the disciplines of psychology and advertising.


Author(s):  
Rahul Saxena ◽  
Ranjita Gupta

We can treat analytics as a multi-discipline profession because the body of knowledge required for analytics has become extensive, and businesspeople have started to designate teams and departments as being specialists in analytics. An ecosystem of service providers has evolved for this profession, including conferences, degrees, consulting services, certifications, etc. Analytics is best understood as an organizational asset that is used to improve decision making and execution. This chapter outlines the analytics landscape and aims to help organizations gain a shared understanding of issues that must be addressed to plan, build, and use the analytics asset.


Author(s):  
Shaheb Ali ◽  
Rafiqul Islam ◽  
Ferdausur Rahman

Business intelligence (BI) institutionalization has become a growing research area within the information systems (IS) discipline because of the decision-making iteration in businesses. Studies on BI application in improving decision support are not new. However, research on BI institutionalization seems sparse. BI institutionalization may positively contribute to a managerial role in using BI application repetitively for the decision-making iteration in businesses. This article aims to carry out an integrative literature review and report consolidated views of the body of knowledge. The study adopted a qualitative content analysis to generate themes about BI routinization in the decision-making iteration. Eighty-eight research articles were selected for the study. However, 57 articles were finally included for review. The findings suggest information management capability as the key necessity for BI application and its alignment with the organizational standard for BI institutionalization.


2019 ◽  
Vol 15 (1) ◽  
pp. 101-118
Author(s):  
Shaheb Ali ◽  
Rafiqul Islam ◽  
Ferdausur Rahman

Business intelligence (BI) institutionalization has become a growing research area within the information systems (IS) discipline because of the decision-making iteration in businesses. Studies on BI application in improving decision support are not new. However, research on BI institutionalization seems sparse. BI institutionalization may positively contribute to a managerial role in using BI application repetitively for the decision-making iteration in businesses. This article aims to carry out an integrative literature review and report consolidated views of the body of knowledge. The study adopted a qualitative content analysis to generate themes about BI routinization in the decision-making iteration. Eighty-eight research articles were selected for the study. However, 57 articles were finally included for review. The findings suggest information management capability as the key necessity for BI application and its alignment with the organizational standard for BI institutionalization.


2019 ◽  
Vol 74 (3) ◽  
pp. 613-631 ◽  
Author(s):  
Christian Laesser ◽  
Jieqing Luo ◽  
Pietro Beritelli

Purpose Most state-of-the-art approaches for the analysis of the process of travel decision-making follow Woodworth’s neo-behaviouristic S–R (stimulus–response) or S–O–R (stimulus–organism–response) model. However, within this model, scholars primarily focus on the S–R relationship, investigating specific decisions by describing or explaining an outcome as the result of an input of several stimuli. There is a lack of investigation into the “O” dimension of the S–O–R model. This paper aims to contribute towards closing of this gap by conceptually and holistically expanding existing models with new perspectives and components. Design/methodology/approach The authors base the conceptual process on a subjective/interpretative research paradigm, by combining outcomes from different theories and concepts into a new, more holistic approach; and challenging this approach by seeking counterarguments as well as supportive arguments at three conferences and workshops. Findings The paper expands the body of literature by positing a generic conceptual operationalization model focusing on the organism (“O”) domain of decision-making. To achieve this, and further to operationalize the S–O–R model, the paper proposes to integrate an M–O–A (motivation–opportunity–ability) approach. Originality/value The analysis of the body literature reveals that there is still a lack of analytical and especially workable models/approaches for the analysis of the process of tourist decision-making. The paper contributes to that discussion by offering an alternative and generic operationalization of the tourist decision-making process by inducing a theoretical framework from the deductions gleaned from a number of existing theories.


10.28945/4016 ◽  
2018 ◽  

Aim/Purpose: This paper describes an empirical investigation on how consumer behavior is influenced by the volume of content on a commercial landing page -- a stand-alone web page designed to collect user data (in this case the user’s e-mail address), a behavior called “conversion.” Background: Content is a term commonly used to describe the information made available by a website or other electronic medium. A pertinent debate among scholars and practitioners relate to information volume and consumer behavior: do more details elicit engagement and compliance, operationalized through conversions, or the other way around? Methodology: A pilot study (n= 535) was conducted in ‎real-world commercial setting, followed by a series of large-scale online experiments (n= 27,083). Both studies employed a between-group design: Two variations of landing pages, long and short, were created based on various behavioral theories. User traffic to the pages was generated using online advertising and randomized between the pages (A/B testing). Contribution: This research contributes to the body of knowledge on the antecedents and outcomes of online commercial interaction, focusing on content as a determinant of consumer decision-making and behavior. Findings: The observed results indicate a negative correlation between content volume and users’ conversions. The shorter pages had significantly higher conversion rates, across locations and time. Findings suggest that content play a significant role in online decision making. They also contradict prior research on trust, persuasion, and security. Recommendations for Practitioners: At a practical level, results can inform practitioners on the importance of content in online commerce. They provide an empirical support to design and content strategy considerations, specifically the use of elaboration in commercial web pages. Recommendation for Researchers: At the theoretical level, this research advances the body of knowledge on the paradoxical relationship between the increased level of information and online decision-making and indicates that contrary to earlier work, not all persuasion theories‎ are ‎effective online. Impact on Society: Understanding how information drive behavior has implications in many domains (civic engagement, health, education and more). This has relevance to system design and public communication in both online and offline contexts, suggesting social value. Future Research: ‎Using this research as a starting point, future research can examine the impact of content in other contexts, as well as other behavioral drivers (such as demographic data). This can lead to theoretical, methodological and practical recommendations.


2021 ◽  
Vol 21 ◽  
pp. 100644
Author(s):  
Mona Mirehie ◽  
Heather J. Gibson ◽  
Richard J. Buning ◽  
Cassandra Coble ◽  
Meredith Flaherty

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