Impact of geomarketing and location determinants on business development and decision making

2018 ◽  
Vol 28 (1) ◽  
pp. 98-120 ◽  
Author(s):  
Veland Ramadani ◽  
Donika Zendeli ◽  
Shqipe Gerguri-Rashiti ◽  
Leo-Paul Dana
Keyword(s):  
Decision Making ◽  
Structural Equation ◽  
Secondary Data ◽  
Business Development ◽  
Primary Data ◽  
Equation Modeling ◽  
Decision Making Process ◽  
Content Type ◽  
Location Determinants

Purpose This paper aims to study and compare variables such as location, industry, socio-demographics and business factors of several companies located in Western Macedonia. Design/methodology/approach Research method is based on primary data the authors collected through questionnaires and secondary data obtained from State Statistical Office. Besides, the research sums up data classification of companies in the aspect of geomarketing and how location determinants and geo-information of certain cities can influence their business development and decision-making. Lastly, the results of data and Structural Equation Modeling integration are presented. Findings Since Republic of Macedonia is more than 25 years in transition, experts have often foreseen that companies in their country most of the time make intuitive decisions and do not take into account many elements during decision-making process in the business aspect. But on the other hand, results reveal interesting facts about companies involved in their research. For a majority of companies, the influence of geomarketing on business development is positive as long as during decision-making process its determinants have been taken into consideration and reviewed. Practical implications The paper helps the entrepreneurs to develop their businesses and decision-making process based on geomarketing determinants. Originality/value This is the first paper that investigates and compares variables such as location, industry, socio-demographics and business factors of companies located in Macedonia.

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.

A multi-level analysis of mixed gender couple’s food decisions in a tourism context

2019 ◽  
Vol 2 (2) ◽  
pp. 121-144 ◽  
Author(s):  
Guliz Coskun ◽  
Laura W. Jodice ◽  
DeWayne Moore
Keyword(s):  
Decision Making ◽  
South Carolina ◽  
Structural Equation ◽  
Equation Modeling ◽  
Decision Making Process ◽  
Group Level ◽  
Content Type ◽  
Study Results ◽  
Multi Level ◽  
Mixed Gender

Purpose Through application of multi-level structural equation modeling as the data analysis technique, the purpose of this paper is to analyze the group-level impacts on a couple’s food choices during travel at a coastal destination. Design/methodology/approach Researchers obtained 380 individual questionnaires from 190 mixed gender couples (who eat oysters) in Charleston and Beaufort County, South Carolina, USA. Data were collected from both members of the couple during their vacation. Due to missing data and normality issues 5 couples and 30 individuals were eliminated. The remaining data were analyzed with SPSS 21 and EQS 6.2 with advanced confirmatory factor analysis and multi-level (ML) regression techniques. Findings The study results indicated that while women have a more negative attitude than men toward oysters, their intention to eat oysters during vacation is not different from their partner. By detecting the interdependency of responses of individuals within a couple, this study revealed that a ML approach is a more powerful way to understand the decision-making process of couples. Additionally the difference in the results of single- and ML models showed that the latter approach lowers the chance of Type 2 error and provides more accurate results. Originality/value In tourism decision-making literature, the focus has been mostly on the individual despite the collectivistic nature of tourism activity. The current study is the first to analyze a couple’s decision-making process at the group level. Furthermore by collecting data from both members of the group during their vacation, this study has distinguished itself from previous studies.

Impact of a country’s logistical capabilities on supply chain risk

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
R. Sreedevi ◽  
Haritha Saranga ◽  
Sirish Kumar Gouda
Keyword(s):  
Decision Making ◽  
Risk Management ◽  
Supply Chain ◽  
Risk Perception ◽  
Risk Perceptions ◽  
Structural Equation ◽  
Primary Data ◽  
Equation Modeling ◽  
Supply Chain Risk ◽  
Content Type

Purpose This paper aims to examine the relationship between environmental factors, risk perception and decision-making in risk management. Specifically, using attribution theory, the authors study the influence of macro-level logistical capabilities of a host country on a firm’s actual and perceived supply chain risk, and examine if this country-level factor and the firm level perception of risk affect a firm’s decision-making in risk management. Design/methodology/approach This study uses a combination of primary data from 932 manufacturing firms from 22 countries and secondary data from the logistics performance index (LPI), and empirically tests the conceptual framework using partial least squares structural equation modeling. Findings Key results reveal that a country’s logistical capabilities, measured using LPI, have a significant impact on managers’ risk perception. Firms located in countries with high LPI perceive lower risk in their supply chain both in the upstream and downstream, and therefore do not invest much in external integration, compared to firms in low LPI countries, and hence are exposed to high risk. Originality/value This is one of the first empirical studies linking a country’s logistical capabilities with supply chain risk perceptions, objective supply chain risk and supply chain risk management efforts of a firm using the International Manufacturing Strategy Survey database.

An analysis of the religious, social factors and income’s influence on the decision making in Islamic microfinance schemes

2020 ◽  
Vol 11 (2) ◽  
pp. 361-376
Author(s):  
Shaheen Mansori ◽  
Meysam Safari ◽  
Zarina Mizam Mohd Ismail
Keyword(s):  
Decision Making ◽  
Social Influence ◽  
Structural Equation ◽  
Islamic Law ◽  
Peer Pressure ◽  
Primary Data ◽  
Decision Making Process ◽  
Data Set ◽  
Content Type ◽  
Islamic Microfinance

Purpose Islamic microfinance schemes are designed and developed with the primary intention of poverty alleviation and fulfillment of the Islamic law requirements. The purpose of this study is to investigate the effects of religiosity, religious leader’s endorsement, social influence and income on the intention to apply for Islamic microfinance among Muslims in Malaysia. Design/methodology/approach This study is based on a public survey to collect primary data from various states in Malaysia. Then, structural equation modelling (SEM) was used to analyse the data set. Findings The results of SEM indicate significant roles for religiosity and religious leader’s endorsement as religion-based factors on intention to apply for microfinance products. Moreover, social influence (peer-pressure) is influential on the financial decision-making process. The authors also examined the moderation effect of gender on these relations and found that females, in comparison to males, tend to be more influenced by religious leader’s endorsement and social influence. On the other hand, male with higher religiosity tend to favour Islamic microfinance products more than females. Originality/value Findings of this study are new in many aspects, most importantly as it sheds light into the role of religiosity and religious leader’s endorsement on the decision-making process in microfinancing services.

PENGARUH PELATIHAN, KOMPETENSI, MOTIVASI DAN KEPEMIMPINAN TERHADAP KINERJA PEGAWAI DENGAN PENDIDIKAN SEBAGAI PEMODERATOR PADA BALAI PENDIDIKAN DAN PELATIHAN APARATUR KEMENTERIAN KELAUTAN DAN PERIKANAN

2018 ◽  
Vol 5 (2) ◽  
pp. 37-49
Author(s):  
Wahyu Yulianto
Keyword(s):  
Job Satisfaction ◽  
Performance Appraisal ◽  
Structural Equation ◽  
Secondary Data ◽  
Primary Data ◽  
Equation Modeling ◽  
Training Centre ◽  
Competence Motivation ◽  
The Impact ◽  
Mediator Variable

The study purpose is to analyse the impact of training, competence, motivation and leadership towards performance either directly or through job satisfaction as a mediator variable. As many as 55 staff are considered as respondents in this research, and census method is used as the sampling method. Primary data in this study were collected through questionnaires and analyzed using Likert Scale. Secondary data are obtained from the organization structure Sukamandi Apparatus Training Centre (BDA), performance appraisal, staff attendance, information system and personnel management. Structural Equation Modeling Analisis of Moment Structures (SEM-AMOS) is used to process and analyze data. This study shows staff with high education, competence and leadership have a significant effect on performance, While the job satisfaction is significant in mediating the influence of training, competence and leadership on performance. Next on the employee with low education, training, competence, motivation and leadership have a significant influence on performance, while job satisfaction is significant in mediating the effect of competence and leadership on staff performance.   Keywords:  training, competence, motivation, leadership, job satisfaction, performance

Is lodging research suffering from methods bias? An assessment of published research during 1990-2016

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Faizan Ali ◽  
Mehmet Ali Koseoglu ◽  
Fevzi Okumus ◽  
Eka Diraksa Putra ◽  
Mehmet Yildiz ◽  
...  
Keyword(s):  
Structural Equation ◽  
Quantitative Methods ◽  
Empirical Studies ◽  
Secondary Data ◽  
Equation Modeling ◽  
Content Type ◽  
Data Collection And Analysis ◽  
Hospitality And Tourism ◽  
Method Bias ◽  
Published Research

Purpose The study aims to investigate if lodging research suffers from a method bias by comprehensively reviewing the research methodology used in lodging related research articles. Design/methodology/approach In all, 2,647 published papers in 16 leading hospitality and tourism published between 1990 and 2016 are analyzed using bibliometric technique. Findings In all, 69% of the empirical studies in lodging research across 26 years period used quantitative methods, with an increasing reliance on regression-based analysis and structural equation modeling, a disturbing plunging trend in methods diversity. Findings also suggest an increasing trend of using secondary data. Research limitations/implications Based on the findings of this study, theoretical and practical implications for hospitality and tourism researchers are provided. Originality/value This is the first study that reviewed a large corpus of published research (2,647 papers in 16 hospitality and tourism journals from the last 27 years) to highlight (a) methodology used, (b) methods employed and (c) data collection and analysis procedures.

Information technologies and seaport operational efficiency

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sandra Adabere ◽  
Kwame Owusu Kwateng ◽  
Esther Dzidzah ◽  
Francis Tetteh Kamewor
Keyword(s):  
Structural Equation ◽  
Information Technologies ◽  
Operational Efficiency ◽  
Sub Saharan Africa ◽  
Primary Data ◽  
Equation Modeling ◽  
Content Type ◽  
Mediating Role ◽  
Sub Saharan ◽  
Positive Direct

PurposeThe introduction of information technology (IT) in port operations has been a tremendous contributor to transformation in world trade. This study was carried out to examine the influence of IT on the efficiency of seaport operations.Design/methodology/approachThe study is quantitative in nature, and it relied on a closed-ended self-administered questionnaire to collect primary data. Structural equation modeling (SEM) was used to test the theoretical model and hypothesis.FindingsThe results indicate that IT has a positive direct effect on port operational efficiency (OE) and an indirect effect on port OE through organizational culture (OC). The mediating role of OC is statistically insignificant.Originality/valueThis is among the first few attempts in Sub-Saharan Africa (SSA) that provides researchers with a contemporary view of IT and seaport operations.

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 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.

Structural equation modeling of residents' attitudes and tourism development: a SET based - study of the Kashmir region in India

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Aasif Ali Bhat ◽  
Kakali Majumdar
Keyword(s):  
Structural Equation Modeling ◽  
Social Exchange ◽  
Structural Equation ◽  
Social Exchange Theory ◽  
Tourism Development ◽  
Exchange Theory ◽  
Primary Data ◽  
Equation Modeling ◽  
Content Type ◽  
The Social

PurposeThe present study tries to develop a model that assesses the factors that determine support for tourism development by residents of the Kashmir region.Design/methodology/approachPrimary data have been collected (n = 650) from the residents of the top five tourist destinations through a pre-tested questionnaire by a multistage convenient sampling method. A model has been drafted and tested through the technique of structural equation modeling by applying the social exchange theory as a theoretical framework.FindingsThe results revealed that residents who perceived more benefits were more expected to support tourism development, and residents who perceive more costs were less expected to support tourism development, thus supporting the social exchange theory.Originality/valueThe results of this study are extremely useful for the local government and tourism institutions in the future planning of tourism development and also fill the vast gap in the tourism literature with a theoretical base.

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