scholarly journals Why People Settle in Shrinking Communities: A Unified Framework of Psychological, Environmental, and Cognitive Factors

2021 ◽  
Vol 13 (24) ◽  
pp. 13944
Author(s):  
Siyi An ◽  
Toshiaki Aoki ◽  
Atsushi Suzuki
Keyword(s):  
Decision Making ◽  
Structural Equation ◽  
Equation Modeling ◽  
Unified Framework ◽  
Geographical Differences ◽  
Environmental Evaluation ◽  
Suburban Communities ◽  
Psychological Dimension ◽  
Settlement Behavior ◽  
Sustainability Strategies

The interpretation of settlement behavior in shrinking areas can provide insights into sustainability strategies in shrinking communities. However, the choice to settle in areas undergoing shrinkage is hard to interpret when considering residents as rational decisionmakers. To attain a deeper understanding of this decision-making process, a framework of residential decision making (RDM) considering a subjective environmental evaluation dimension, psychological dimension, and cognitive dimension is proposed. This process was further validated by conducting a questionnaire survey in Japanese communities. The results of the structural equation modeling reveal that the RDM framework proposed is applicable to RDM in shrinking communities. By considering geographical differences, we further found that residents in suburban communities tend to consider overall satisfaction with their location when deciding whether to stay, whereas residents in mountainous communities value emotional satisfaction factors such as place attachment when considering continuous residence. Different residential preferences contributing to the formation of RDM factors were also revealed between communities. The results of this study imply that sustainable development strategies to assist shrinking communities should be tailored to their geographical characteristics. Further, a regional design that can enrich residential experiences and neighborhood communication is important for promoting population settlement.

scholarly journals A referral aid for smoking cessation interventions in primary care: study protocol for a randomized controlled trial

2021 ◽  
Vol 22 ◽  
Author(s):  
Daniëlle N. Zijlstra ◽  
Jean W.M. Muris ◽  
Catherine Bolman ◽  
J. Mathis Elling ◽  
Vera E.R.A. Knapen ◽  
...  
Keyword(s):  
Primary Care ◽  
Decision Making ◽  
Smoking Cessation ◽  
Cost Effectiveness ◽  
Structural Equation ◽  
Controlled Trial ◽  
Linear Regression Analysis ◽  
Informed Decision ◽  
Equation Modeling ◽  
Informed Decision Making

Abstract Background: To expedite the use of evidence-based smoking cessation interventions (EBSCIs) in primary care and to thereby increase the number of successful quit attempts, a referral aid was developed. This aid aims to optimize the referral to and use of EBSCIs in primary care and to increase adherence to Dutch guidelines for smoking cessation. Methods: Practice nurses (PNs) will be randomly allocated to an experimental condition or control condition, and will then recruit smoking patients who show a willingness to quit smoking within six months. PNs allocated to the experimental condition will provide smoking cessation guidance in accordance with the referral aid. Patients from both conditions will receive questionnaires at baseline and after six months. Cessation effectiveness will be tested via multilevel logistic regression analyses. Multiple imputations as well as intention to treat analysis will be performed. Intervention appreciation and level of informed decision-making will be compared using analysis of (co)variance. Predictors for appreciation and informed decision-making will be assessed using multiple linear regression analysis and/or structural equation modeling. Finally, a cost-effectiveness study will be conducted. Discussion: This paper describes the study design for the development and evaluation of an information and decision tool to support PNs in their guidance of smoking patients and their referral to EBSCIs. The study aims to provide insight into the (cost) effectiveness of an intervention aimed at expediting the use of EBSCIs in primary care.

scholarly journals Cognitive and Affective Processes Associated with Social Biases

2021 ◽  
Author(s):  
Asuka Kaneko ◽  
Yui Asaoka ◽  
Young-A Lee ◽  
Yukiori Goto
Keyword(s):  
Decision Making ◽  
Structural Equation ◽  
Autistic Traits ◽  
Social Judgment ◽  
Equation Modeling ◽  
Social Judgments ◽  
Social Conformity ◽  
Affective Processes ◽  
Negative Affects ◽  
Social Biases

Abstract Background Decision-making and judgments in our social activities often erroneous and irrational, known as social biases. However, cognitive and affective processes that produce such biases remain largely unknown. In this study, we investigated associations between social schemas, such as social judgment and conformity, entailing social biases and psychological measurements relevant to cognitive and affective functions. Method Forty-two healthy adult subjects were recruited in this study. A psychological test and a questionnaire were administered to assess biased social judgements by superficial attributes and social conformity by adherence to social norms, respectively, along with additional questionnaires and psychological tests for cognitive and affective measurements, including negative affects, autistic traits, and Theory of Mind (ToM). Associations of social judgment and conformity with cognitive and affective functions were examined multiple regression analysis and structural equation modeling. Results Anxiety and the cognitive realm of ToM were mutually associated with both social judgments and conformity, although social judgements and conformity were still independent processes with each other. Social judgements were also associated with autistic traits and the affective realm of ToM, whereas social conformity was associated with negative affects other than anxiety and intuitive decision-making style. Conclusions These results suggest that ToM and negative affects may play important roles in social judgements and conformity, and social biases connoted in these social schemas.

Data-based ethical decision making, lateral relations, and organizational commitment

2018 ◽  
Vol 40 (6) ◽  
pp. 946-963 ◽  
Author(s):  
Sean Robert Valentine ◽  
David Hollingworth ◽  
Patrick Schultz
Keyword(s):  
Decision Making ◽  
Organizational Commitment ◽  
Information Flow ◽  
Structural Equation ◽  
Ethical Decision ◽  
Ethical Decision Making ◽  
Ethical Issues ◽  
Self Report ◽  
Equation Modeling ◽  
Content Type

Purpose Focusing on ethical issues when making organizational decisions should encourage a variety of positive outcomes for companies and their employees. The purpose of this paper is to determine the degree to which data-based ethical decision making, lateral relations and organizational commitment are interrelated in organizations. Design/methodology/approach Data were collected from business professionals employed at multiple locations of a financial services firm operating in the USA. Mediation analysis (based on structural equation modeling) was used to test the proposed relationships. Findings Results indicated that employees’ perceptions of data-based ethical decision making were positively related to perceived lateral relations, and that perceived lateral relations were positively related to organizational commitment. Research limitations/implications Given that information was collected using only a self-report questionnaire, common method bias could be an issue. In addition, the study’s cross-sectional design limits conclusions about causality. Another limitation involves the study’s homogenous sample, which decreases the generalizability of the findings. Finally, variable responses could have been impacted by individual frames of reference and other perceptual differences. Practical implications Results suggest that information flow enhancements should support or be consistent with horizontal information flow enhancements, and that together these factors should increase employee commitment. Originality/value Given the dearth of existing research, this interdisciplinary investigation is important because it fills gaps in the management literature. This study is also important because the results could inform decisions regarding the use of data analysis in ethical decisions and lateral forms of organizational structuring to improve work attitudes.

scholarly journals Factor Influencing Investor’s Decision Making in Indonesia: Moderating the Role of Locus of Control

2020 ◽  
pp. 49-56
Author(s):  
Febria Nalurita ◽  
Farah Margaretha Leon ◽  
Hamdy Hady
Keyword(s):  
Decision Making ◽  
Locus Of Control ◽  
Loss Aversion ◽  
Structural Equation ◽  
Investment Decision ◽  
Equation Modeling ◽  
Investment Decision Making ◽  
Market Factors ◽  
Regret Aversion

This study aims to investigate the effect of loss aversion, regret aversion, and market factors, on investment decision making with the moderating role of locus of control. Data collection is done by distributing questionnaires. The survey was conducted on individual investors in the Indonesia Stock Exchange in Jakarta to obtain a sample of 281. This research uses the Structural Equation Modeling approach. The statistical tool used is LISREL 8.8. This study found that loss aversion, regret aversion, and market factors significantly influence investment decision making. Locus of control plays the role of moderation between loss aversion, regret aversion, market factors, and investment decision making. The novelty in this study reveals the research that needs to be done to encourage investors to make rational decisions and control the required rate of returns through their locus of control. This research helps investors to make decisions logically and rationally with an open mind, high-performance thoughts and positive actions for investment goals that produce positive returns.

scholarly journals Introducing Emotioncy as an Invisible Force Controlling Causal Decisions: A Case of Attribution Theory

2017 ◽  
Vol 48 (1) ◽  
pp. 129-140 ◽  
Author(s):  
Reza Pishghadam ◽  
Hannaneh Abbasnejad
Keyword(s):  
Decision Making ◽  
Attribution Theory ◽  
Structural Equation ◽  
Judgment And Decision Making ◽  
External Factors ◽  
Equation Modeling ◽  
Internal Factors ◽  
Factors Influencing ◽  
Confirmatory Factor ◽  
Causal Judgments

Abstract Given the prominence of studies aimed at determining the factors influencing causal judgments, this study attempts to introduce the newly-developed concept of emotioncy as one of the guiding factors pushing attribution judgments toward a certain spectrum. To this end, two scales of attribution and emotioncy were designed using ten hypothetical situations. A total number of 309 participants filled out the scales. The construct validity of the scales was substantiated through confirmatory factor analysis (CFA). Afterwards, structural equation modeling (SEM) was utilized to examine the possible relationships among the sub-constructs of attribution and emotioncy scales. The results indicated that as the participants’ emotioncy level increases, it becomes more likely for them to attribute probable causes to external factors. Moreover, it was revealed that while the involved individuals attribute causes to external factors, the exvolved ones attribute them to internal factors. In the end, implications of the findings were discussed in the realm of judgment and decision making.

scholarly journals Revisiting the relationship between formal planning process and planning effectiveness

2018 ◽  
Vol 30 (2) ◽  
pp. 1016-1034 ◽  
Author(s):  
Said Elbanna ◽  
Tamer H. Elsharnouby
Keyword(s):  
Decision Making ◽  
United Arab Emirates ◽  
Structural Equation ◽  
Planning Process ◽  
Price Volatility ◽  
Organizational Capabilities ◽  
Equation Modeling ◽  
Content Type ◽  
Tourism Sector ◽  
The Impact

Purpose The purpose of this study is to address a timely research question by clarifying whether formal planning is a worthy approach for hotels. In so doing, the authors developed a theoretical model that extends prior research by exploring how the formal planning process influences organizational capabilities and decision-making style. The model also examines the impact of the three identified factors on planning effectiveness. Design/methodology/approach Data were collected from 175 hotels located in United Arab Emirates (UAE) and Qatar and hypotheses were tested using structural equation modeling (SEM). Findings The study concludes that the practice of formal planning in the tourism sector does matter and both organizational capabilities and decision-making style are important factors in predicting planning effectiveness. Research limitations/implications Generalizations to organizations operating in other sectors, such as manufacturing or government sectors, should be drawn cautiously. Practical implications Taking into account oil price volatility and serious political crises in the region, this study provides several insights to hotel managers into how the formal planning process can influence planning effectiveness. Originality/value The findings enrich the debate on the role of formal planning in the tourism sector, which has been relatively devoid of similar studies.

Webrooming and showrooming: a multi-stage consumer decision process

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Srabanti Mukherjee ◽  
Swagato Chatterjee
Keyword(s):  
Decision Making ◽  
Information Search ◽  
Structural Equation ◽  
Product Type ◽  
Equation Modeling ◽  
Purchase Decision ◽  
Decision Making Process ◽  
Content Type ◽  
Channel Choice ◽  
Multi Stage

PurposeThe purpose of this research is to propose and validate a theoretical framework explaining web-rooming and showrooming as a multi-stage decision-making process. The authors have used consumer purchase decision-making theories to propose a model that identifies showrooming and webrooming as a combination of two decisions, channel choice during information search and channel choice during actual purchase. Further, the authors explored how various antecedents of showrooming and webrooming have differential effects on various stages of a purchase decision-making process and how product type moderates the relationships.Design/methodology/approachThe authors have conducted empirical research, whereby 243 responses were obtained from a cross-sectional survey. The authors have used structural equation modeling and multiple regression analysis to validate our theoretical model.FindingsWebrooming or showrooming is a multi-stage decision-making process for the consumers. First, consumers decide whether to search online or offline and then whether to buy online and offline. Different individual, purchase context-related and channel related factors impact these decisions. Product type governs which variables will be more important than others.Originality/valueThe research looks to enhance the understanding of the consumer's decision-making process during showrooming and webrooming while also helping retailers design and implement appropriate strategies that could affect consumers during information search and actual purchase.

Investigating the Determinants of Decision-Making on Adoption of Public Cloud Computing in E-Government

2019 ◽  
pp. 1809-1828
Author(s):  
Juhua Wu ◽  
Fang Ding ◽  
Meng Xu ◽  
Zan Mo ◽  
Anran Jin
Keyword(s):  
Decision Making ◽  
Cloud Computing ◽  
Structural Equation ◽  
Chinese Culture ◽  
Equation Modeling ◽  
Public Cloud ◽  
Adoption Theory ◽  
Technical Factors ◽  
Management Factors ◽  
It Decision Making

This article analyzed decision-making in terms of the adoption of public cloud computing and its determinants in the context of e-government. The authors proposed a theoretical model and related hypotheses after reviewing the literature and combining technology adoption theory with IT decision-making authority theory. Then, they collected samples from 227 public sectors and tested hypotheses using structural equation modeling. The results show that the determinants of the three modes (IaaS, SaaS, and PaaS) of decision-making on adoption are different. The significant determinants of IaaS adoption include technical factors and business factors, those of PaaS adoption include technical factors and management factors, whereas those of SaaS include technical factors, business factors and management factors. The authors also find managerial/controlling power, which characterizes the special nature of Chinese culture, only have a significant influence on the decision-making on adoption of PaaS mode and SaaS mode.

scholarly journals Regional Economic Sustainability: Universities’ Role in Their Territories

Land ◽  
2020 ◽  
Vol 9 (4) ◽  
pp. 102 ◽  
Author(s):  
Dolores Gallardo-Vázquez ◽  
José A. Folgado-Fernández
Keyword(s):  
Social Development ◽  
Structural Equation ◽  
Its Region ◽  
Well Being ◽  
Equation Modeling ◽  
Organizational Strategies ◽  
Sustainability Strategies ◽  
Final Sample ◽  
Adequate Quality ◽  
The University

The sustainability of territories (e.g., regions and countries) is currently an issue that should be considered when implementing organizational strategies. The globalization, industrialization, and population growth trends observed in recent decades have forced experts to adopt a sustainable approach capable of guaranteeing that a population’s present needs can be met without compromising future generations’ well-being. Among the essential pillars of successful sustainability strategies, social development stands out as quite important, so the present study focused on it. Social development strategies include ensuring a satisfactory level of education while simultaneously fostering an adequate quality of life and long-term sustainability. Thus, this study’s objective was to gain a clearer understanding of universities’ role as promoters of education and generators of populations that become more deeply rooted in their territory of origin. One public university, the University of Extremadura in Spain, was found to play a unique, specific role in its region, as this institution has quite unique characteristics that differentiate it from other nearby universities. This study measured the regional population’s preferences by assessing an interest group’s levels of satisfaction and by observing the influence of quality and innovation on this group’s perceptions of the public university’s operations. A questionnaire was prepared and distributed electronically to all University of Extremadura students. The final sample consisted of data from 362 questionnaires, which were analyzed using structural equation modeling. The results indicated that the students’ perceptions of this institution’s innovation and quality are determinants of their satisfaction levels. In addition, this university is considered to be a reason to remain in the region, promoting residents’ sense of belonging and helping consolidate the region as a sustainable area.

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