Marketing–operations alignment: scale development and validation

2020 ◽  
Vol 35 (12) ◽  
pp. 2079-2095
Author(s):  
Kedwadee Sombultawee ◽  
Sakun Boon-Itt
Keyword(s):  
Factor Analysis ◽  
Scale Development ◽  
Information Exchange ◽  
Structural Equation ◽  
Functional Model ◽  
Equation Modeling ◽  
Content Type ◽  
Scale Development And Validation ◽  
Marketing Operations ◽  
Development And Validation

Purpose This paper aims to study a scale development and validation process for an integrative marketing–operations alignment (MOA) theory. This theory was derived from several distinct theories that have attempted to explain the interaction between marketing and operations functions of manufacturing organizations. An initial qualitative research and literature review identified five antecedents to the MOA construct (decision coordination, reward system, information exchange, leadership strategy and performance evaluation) as well as two outcomes (customer orientation and competitor orientation). Design/methodology/approach The scale was developed and validated using successive testing processes including exploratory factor analysis, confirmatory factor analysis and structural equation modeling (LISREL). Findings The outcome of the research is a tested and validated model of MOA. While more work needs to be done to test and potentially extend the theory, this research has produced a basic functional model of the MOA process. Research limitations/implications The limitations include target populations, choice of industry and geography and cross-sectional time horizon of the study. Originality/value This study represents an original contribution to the organizational theory literature, as it provides both a sound theoretical basis and a validated measurement model for the proposed theory of MOA. While this research does draw on existing models, it is more comprehensive and theory-based than the existing models.

Social isolation: development and validation of measures

2019 ◽  
Vol 26 (6) ◽  
pp. 1905-1920
Author(s):  
Sushant Ranjan ◽  
Rama Shankar Yadav
Keyword(s):  
Factor Analysis ◽  
Social Isolation ◽  
Structural Equation ◽  
Well Being ◽  
Equation Modeling ◽  
Negative Consequences ◽  
External Criterion ◽  
Validity Data ◽  
Content Type ◽  
Development And Validation

Purpose The purpose of this paper is to develop and empirically validate items on social isolation. The comprehensive literature review of existing studies on the measures of social isolation, loneliness and the related construct was conducted. The paper seeks to conceptualize, validate and present items to measure social isolation. Design/methodology/approach The paper is based on theoretical and empirical investigation of the measures of social isolation, loneliness and related constructs such as social others, social loneliness and feeling of sociability. The items were generated through theoretical exploration of previous literature and later modified. The author examined the items through exploratory factor analysis, confirmatory factor analysis and further checked for external criterion validity. Data collected from 128 individuals, in India, were examined to design and validate the scale. Findings The finding of the paper is a ten-item social isolation scale. Using structural equation modeling, we have found extraversion and well-being significantly associated with final items in the present study, confirming the external quality of the scale. Practical implications Organizations may benefit by close examination of the presence of social isolation in employees along with providing support and assistance to employees so as to reduce negative consequences of social isolation and can address the well-being of the employee. Originality/value There is a dearth of developed and validated measures of social isolation in the literature. The study reveals the conceptualization and empirical validation of measures of social isolation in the Indian context so that researchers can move forward to develop theories on social isolation.

Retail brand experience: scale development and validation

2016 ◽  
Vol 25 (5) ◽  
pp. 435-451 ◽  
Author(s):  
Imran Khan ◽  
Zillur Rahman
Keyword(s):  
Factor Analysis ◽  
Structural Equation ◽  
Reliability And Validity ◽  
Equation Modeling ◽  
Brand Experience ◽  
Content Type ◽  
Confirmatory Factor ◽  
Consumer Intentions ◽  
Validity Tests ◽  
Development And Validation

Purpose The purpose of this paper is to develop and validate a multi-dimensional scale to measure retail brand experience. Design/methodology/approach Literature review and open-ended survey have been carried out to generate an initial pool of items. Item reduction has been done using exploratory factor analysis and validation of measures performed through confirmatory factor analysis and structural equation modeling. A total of six separate studies have been conducted to develop and validate the retail brand experience scale. Findings A 22-item seven-dimensional retail brand experience scale is developed. The proposed scale has exhibited sound psychometric properties based on the findings from different reliability and validity tests, as well as from robust scale replications across several different samples. Findings support that retail brand experience has a significant impact on consumer intentions (word-of-mouth and pay more). Practical implications This research develops a set of retail brand experience measures that can provide retailers a way to examine the experiences evoked through retail brand-related stimuli. Originality/value This study is the first of its kind of its kind that develops and validates the measures of the retail brand experience.

scholarly journals Development and Validation of Learning Style Scale for E-Learners

SAGE Open ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 215824402110223
Author(s):  
Nabia Luqman Siddiquei ◽  
Ruhi Khalid
Keyword(s):  
Factor Analysis ◽  
Learning Styles ◽  
Psychometric Properties ◽  
Learning Style ◽  
Structural Equation ◽  
Sampling Technique ◽  
Equation Modeling ◽  
Scale Scores ◽  
Significant Addition ◽  
Development And Validation

The present study aimed to develop an indigenous measure of learning styles for e-learners in Pakistan and to establish its psychometric properties. The objectives of the study were attained via three studies. First, the items for the development of the Learning Style Scale for e-Learners (e-LSS) were generated empirically based on a 5-point Likert-type scale. In Study I, the internal consistency and dimensionality of the measure were determined by sampling 360 e-learners aged from 20 to 40 years through a convenient sampling technique, whereas other demographic characteristics were kept in close consideration. For this purpose, exploratory factor analysis was utilized. In Study II of scale development, the factor structure that emerged in Study I was confirmed via confirmatory factor analysis using structural equation modeling. In Study III, the convergent and divergent validities of the newly constructed scale were established by correlating scores with preestablished scale scores that assess the similar construct (i.e., LSS) and with scores on the discriminant construct (i.e., Solving Problems Survey). The sample for this study consisted of 80 e-learners aged from 20 to 40 years. A total of 29 items were confirmed in the final scale with 8 distinctive factors (namely, visual, auditory, kinesthetic, global, analytical, individual, collaborative, and technological type) with sound psychometric properties. To conclude, the newly constructed scale was a significant addition to assess learning styles particularly of e-learners in the context of Pakistan.

scholarly journals Examining the ParticipACTION brand using the brand equity pyramid

2018 ◽  
Vol 8 (4) ◽  
pp. 378-396 ◽  
Author(s):  
Alexander Lithopoulos ◽  
Peter A. Dacin ◽  
Tanya R. Berry ◽  
Guy Faulkner ◽  
Norm O’Reilly ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Brand Equity ◽  
Structural Equation ◽  
Structural Equation Models ◽  
Equation Modeling ◽  
Content Type ◽  
Activity Promotion ◽  
Confirmatory Factor

Purpose The brand equity pyramid is a theory that explains how people develop loyalty and an attachment to a brand. The purpose of this study is to test whether the predictions made by the theory hold when applied to the brand of ParticipACTION, a Canadian non-profit organization that promotes active living. A secondary objective was to test whether this theory predicted intentions to be more physically active. Design/methodology/approach A research agency conducted a cross-sectional, online brand health survey on behalf of ParticipACTION. Exploratory factor analysis and confirmatory factor analysis established the factor structure. Structural equation modeling was used to test the hypothesized model. Findings A nationally representative sample of Canadian adults (N = 1,191) completed the survey. Exploratory factor analysis and confirmatory factor analysis supported a hypothesized five-factor brand equity framework (i.e. brand identity, brand meaning, brand responses, brand resonance and intentions). A series of structural equation models also provided support for the hypothesized relationships between the variables. Practical implications Though preliminary, the results provide a guide for understanding the branding process in the activity-promotion context. The constructs identified as being influential in this process can be targeted by activity-promotion organizations to improve brand strength. A strong organizational brand could augment activity-promotion interventions. A strong brand may also help the organization better compete against other brands promoting messages that are antithetical to their own. Originality/value This is the first study to test the brand equity pyramid using an activity-promotion brand. Results demonstrate that the brand equity pyramid may be useful in this context.

Analyzing the post-harvest supply chain enablers of vertical integration for rural employability and marketability

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rahul Priyadarshi ◽  
Srikanta Routroy ◽  
Girish Kant
Keyword(s):  
Factor Analysis ◽  
Supply Chain ◽  
Vertical Integration ◽  
Rural Areas ◽  
Structural Equation ◽  
Equation Modeling ◽  
Value Addition ◽  
Content Type ◽  
Post Harvest ◽  
The Impact

Purpose The purpose of this study is to analyze the post-harvest supply chain enablers (PHSCEs) for vertical integration to enhance rural employability, farmer profitability and rural produce marketability (i.e. market prospects) in the post-harvest supply chain (PHSC). The impact of vertical integration is also explored for various commercial produces. Design/methodology/approach A structural equation modeling (SEM) of PHSCEs for vertical integration was developed to enhance market prospects, rural employability and farmer profitability. The impact of business-to-business (B2B) and business-to-customer market prospects are explored in various dimensions for stakeholders such as farmers, manufacturers (processors), distributors and retailers. The fuzzy technique for order of preference by similarity to ideal solution (F-TOPSIS) was used to prioritize these PHSCEs to improve market prospects and rural employability. Findings The PHSCEs are clustered into three groups, namely, initiatives at the strategic frontier, initiatives at the tactical frontier and concerns for rural employability via vertical integration using exploratory factor analysis, confirmatory factor analysis and SEM to prove the null hypothesis. With F-TOPSIS results, the availability of warehousing was found to be the most crucial enabler when observing the PHSCEs from the initiatives’ perspective. The technology adaptability and availability, institute for training and research and information infrastructure and information visibility were found to be the key PHSCEs when observed from PHSC stakeholders’ perspectives. Research limitations/implications The implementation of this study will improve the rural produce marketability, rural employability, B2B marketing (i.e. effective distribution) and subsequent value chains with the practice of vertical integration for fresh produce at the rural level. Practical implications The outcomes of this study have a key role in developing the rural regions and improving rural livelihoods via value addition. The awareness of commercial cultivation and value addition in rural areas needs to be improved. This will help farmers to earn better revenues with improved market prospects in comparison to the revenues obtained from the cultivation of staple/conventional crops. Originality/value In an era of cold chains and food processing, this study aims to disseminate awareness about value addition for commercial and fresh produces at the rural level. The implication of this study will improve rural produce marketability, rural employability and farmer profitability at the rural level with the level of vertical integration.

A structural equation model for big data adoption in the healthcare supply chain

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Dindayal Agrawal ◽  
Jitender Madaan
Keyword(s):  
Factor Analysis ◽  
Big Data ◽  
Supply Chain ◽  
Latent Variables ◽  
Structural Equation ◽  
Equation Model ◽  
Equation Modeling ◽  
Data Governance ◽  
Social Perspective ◽  
Content Type

PurposeThe purpose of this study is to examine the barriers to the implementation of big data (BD) in the healthcare supply chain (HSC).Design/methodology/approachFirst, the barriers concerning BD adoption in the HSC were found by conducting a detailed literature survey and with the expert's opinion. Then the exploratory factor analysis (EFA) was employed to categorize the barriers. The obtained results are verified using the confirmatory factor analysis (CFA). Structural equation modeling (SEM) analysis gives the path diagram representing the interrelationship between latent variables and observed variables.FindingsThe segregation of 13 barriers into three categories, namely “data governance perspective,” “technological and expertise perspective,” and “organizational and social perspective,” is performed using EFA. Three hypotheses are tested, and all are accepted. It can be concluded that the “data governance perspective” is positively related to “technological and expertise perspective” and “organizational and social perspective” factors. Also, the “technological and expertise perspective” is positively related to “organizational and social perspective.”Research limitations/implicationsIn literature, very few studies have been performed on finding the barriers to BD adoption in the HSC. The systematic methodology and statistical verification applied in this study empowers the healthcare organizations and policymakers in further decision-making.Originality/valueThis paper is first of its kind to adopt an approach to classify barriers to BD implementation in the HSC into three distinct perspectives.

Motivating factors in a teacher’s research and developmental activities and their impact on effective quality teaching in higher education institutions

2019 ◽  
Vol 12 (4) ◽  
pp. 609-632
Author(s):  
Debarun Chakraborty ◽  
Wendrila Biswas
Keyword(s):  
Higher Education ◽  
Factor Analysis ◽  
Research And Development ◽  
Structural Equation ◽  
Teaching Quality ◽  
Primary Data ◽  
Equation Modeling ◽  
Content Type ◽  
Research Activities ◽  
Higher Educational

Purpose Research and development pursuits have always been an integral part of a teacher’s professional development. Today, the higher educational institutes (HEIs) are chiefly prioritizing and providing a sustained support toward research-based and research-oriented learning. But as revealed by the broad outlines of the entire scenario, a fall in research productivity and developmental attempts is witnessed among the faculties of higher educational establishments. To put it succinctly, the motivating aspects that reinforce such activities are not adequately taken care of and have thwarted their progression. The purpose of this paper is to delve deep and explore the factors that inspire teachers toward an enriched research and learning, which equally gets reflected in their teaching practices. Design/methodology/approach This is a descriptive research with a cross-sectional survey on faculties from different HEIs of West Bengal. A questionnaire has been designed with a five-point Likert scale to draw the primary data. Convenience sampling technique has been utilized. Exploratory factor analysis and confirmatory factor analysis have been performed with structural equation modeling on the hypothesized research model through AMOS. Findings The major findings of the research have revealed that improved research and development activities of faculties had an immense impact on their teaching quality. The level and accessibility of infrastructure posits a strong influence in augmenting a teacher’s research and developmental endeavors. Working climate influences teachers’ research activities as well their teaching adroitness. Research limitations/implications Results may vary when an extensive study is conducted on teachers of HEIs of two or more states or of the country as a whole. Suppression of the real underlying facts by few respondents may affect the result to a small extent. Practical implications When faculties orient themselves toward research intensive learning and teaching, the students actively get involved in a platform of greater interaction. It elevates their persistence level, intellectual curiosity, critical thinking and cognitive skills. Research-based teaching is also instrumental in honing their analytical skills, promoting creativity. Originality/value The study identified a vital role of the higher education institutes in motivating the faculties toward research-based teaching. There is a dearth of empirical research in identifying the factors that enrich the learning patterns and research activities of the teachers. Thus, it can prove to be a constructive study if implemented.

Identifying brand touchpoints to increase switching costs in the banking industry

2019 ◽  
Vol 38 (3) ◽  
pp. 718-736 ◽  
Author(s):  
Abdullah Sultan
Keyword(s):  
Factor Analysis ◽  
Structural Equation ◽  
Switching Costs ◽  
Service Providers ◽  
Banking Industry ◽  
Service Failure ◽  
Customer Experience ◽  
Equation Modeling ◽  
Exploratory Research ◽  
Content Type

Purpose The purpose of this paper is to study the effect of staged customer experiences on customer switching costs in the banking industry. Design/methodology/approach Brand touchpoints in the banking industry are identified by exploratory research using focus group sessions with bank customers and staff and refined by exploratory factor analysis using an independent sample of bank customers to form the staged customer experience construct. The proposed research model is then validated by confirmatory factor analysis with an independent sample using structural equation modeling. Findings Customer experience in the banking industry consists of four related but distinct stages (i.e. pre-touch, in-touch, post-touch and service failure). The first three stages have direct and indirect effects on switching costs that are partially mediated by relationship quality. Research limitations/implications Customer experience is an industry-specific construct with complicated effects on switching costs. Thus, the staged customer experience construct should be examined in different industries and applications to understand its implications. Practical implications Bank customers demand experiences that achieve desirable results in everyday situations and switch to other service providers easily if this demand is not met. Banks should focus on brand touchpoints that are both important to customers and increase switching costs to keep customers from defecting. Originality/value This research expands upon findings in the customer experience literature by exploring factors that link staged customer experiences with switching costs in the banking industry. In addition, a paradox is identified in the staged customer experience model that requires managers’ attention in order to design an effective customer experience strategy.

scholarly journals Managing consumer privacy concerns and defensive behaviours in the digital marketplace

2020 ◽  
Vol 55 (1) ◽  
pp. 219-246
Author(s):  
Ruwan Bandara ◽  
Mario Fernando ◽  
Shahriar Akter
Keyword(s):  
Information Exchange ◽  
Structural Equation ◽  
Online Survey ◽  
Qualitative Comparative Analysis ◽  
Equation Modeling ◽  
Content Type ◽  
Privacy Concerns ◽  
Consumer Privacy ◽  
Defensive Responses ◽  
Defensive Behaviours

Purpose The purpose of this study is to examine privacy issues in the e-commerce context from a power-responsibility equilibrium theory (PRE) perspective. Design/methodology/approach The data was collected using an online survey (n = 335) from online shopping consumers. This study used partial least squares-structural equation modeling (PLS-SEM) and fuzzy-set qualitative comparative analysis (fsQCA) techniques to empirically examine the proposed relationships. Findings A lack of corporate privacy responsibility and regulatory protection can deprive consumers of privacy empowerment and damage consumer trust to trigger privacy concerns and subsequent defensive responses. Also, the fsQCA revealed five causal configurations to explain high consumer defensive behaviours. Research limitations/implications This study identifies the importance of PRE theory in the privacy context. Consumer privacy concerns, privacy empowerment and trust are established as strong mediators between corporate/regulatory privacy protection efforts and consumer backlash. The application of fsQCA verified that consumer privacy behaviour can be better explained by different configurations of the same causal antecedents. Practical implications The findings highlight the importance of increasing trust and privacy empowerment as mechanisms to manage privacy concerns and consumer backlash through responsible organisational and regulatory privacy protections. The importance of balancing power and responsibility dynamics for maintaining a healthy information exchange environment is identified. Originality/value This study extends the PRE framework of privacy to include corporate privacy responsibility, privacy empowerment and trust. This is one of the first studies to explore both antecedents and outcomes of privacy empowerment. Also, the application of complexity theory and fsQCA to explain consumers’ defensive responses is novel to the literature.

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