Toward the measurement of market orientation: scale development and validation

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rayees Farooq ◽  
Sandeep Vij
Keyword(s):  
Factor Analysis ◽  
Market Orientation ◽  
Structural Equation ◽  
Customer Orientation ◽  
Psychometric Testing ◽  
Equation Modeling ◽  
Firm Level ◽  
Data Set ◽  
Content Type ◽  
Market Intelligence

Purpose The purpose of this study is to investigate the dimensionality of the market orientation (MO) scale. Design/methodology/approach This is a firm-level study. A purposive sample of 400 firms (with 2–3 key informants from each firm) has been taken to study the MO of the firms. The psychometric testing of the MO scale was done using exploratory factor analysis, confirmatory factor analysis and structural equation modeling (SEM). Findings The results have shown that the dimensionality of MO exhibits a different pattern across the sample. The four factors delineated dimensions explain more than 62% of the variance in the data set and are found to be the valuable and versatile measure of MO. Overall, the results provide enough evidence of the validity, reliability and generalizability of the MO scale. The results of SEM indicate a satisfactory nomological validity of the scale. Originality/value The study develops a valid measure of MO with a major focus on market intelligence. The study proposes MO as a function of customer orientation, competitor orientation, inter-functional coordination and market intelligence which was largely ignored in the marketing literature.

Role of market orientation in sustainable performance

Humanomics ◽  
2016 ◽  
Vol 32 (3) ◽  
pp. 352-375 ◽  
Author(s):  
Soheil Kazemian ◽  
Rashidah Abdul Rahman ◽  
Zuraidah Mohd Sanusi ◽  
Abideen A. Adewale
Keyword(s):  
Market Orientation ◽  
Structural Equation ◽  
Customer Orientation ◽  
Partial Least Square ◽  
Least Square ◽  
Three Dimensions ◽  
Equation Modeling ◽  
Future Research ◽  
Content Type ◽  
Competitor Orientation

Purpose Without prejudice to the efficacy of other poverty alleviation mechanisms, micro-financing arguably enjoys relative prominence. However, notwithstanding the remarkable loan repayment rate that the microfinance firms report, they still face the challenge of sustainability. The paper aims to provide insights into how three dimensions of market orientation, namely, customer orientation, competitor orientation and inter-function coordination, affect the two aspects of the sustainability of microfinance institutions (MFIs; management and financial). Design/methodology/approach To achieve this goal, this study focuses on Amanah Ikhtiar Malaysia (AIM), a leading microfinance provider which is also the largest MFI in South East Asia. Data elicited via a survey questionnaire administered on 190 management staff of AIM across Malaysia are subjected to statistical analysis via the partial least square-structural equation modeling using SmartPLS 2.0. Findings The results provide empirical evidences that indicate that management sustainability is significantly influenced by customer orientation and inter-function coordination. However, only customer orientation affects the financial sustainability of AIM. Nevertheless, competitor orientation has non-significant effects on both aspects of sustainability of AIM. Research limitations/implications The result of the paper contributes to the literature in understanding the long-term sustainable financial and social performance-based market orientation. Originality/value Findings are useful for policy makers, management of MFIs, practitioners and academics to enhance microfinance system. Managerial implications, limitation of the study and suggestions for future research are also included.

Marketers’ human capital resources and job performance

2018 ◽  
Vol 36 (1) ◽  
pp. 124-137 ◽  
Author(s):  
Nguyen Dinh Tho ◽  
Nguyen Dong Phong ◽  
Tran Ha Minh Quan ◽  
Nguyen Thi Mai Trang
Keyword(s):  
Human Capital ◽  
Job Performance ◽  
Structural Equation ◽  
Sufficient Conditions ◽  
Equation Modeling ◽  
Future Research ◽  
Firm Level ◽  
Data Set ◽  
Content Type ◽  
Positive Effects

Purpose Positing that human capital resources of marketers comprise both psychological capital (PsyCap) and marketing capital (MarCap), and that PsyCap in combination with MarCap will have a synergistic effect on marketers’ job performance, the purpose of this paper is to investigate the configurational roles of PsyCap and MarCap in marketers’ job performance. Design/methodology/approach Using a survey data set collected from 472 marketers in Ho Chi Minh City, Vietnam, the study tested the net effects of PsyCap and MarCap on job performance using structural equation modeling (SEM). Then, the study investigated the configurational roles of PsyCap and MarCap in job performance employing the fuzzy-set qualitative comparative analysis (fsQCA). Findings SEM results show that two components of PsyCap (efficacy and optimism) and one component of MarCap (organizational MarCap) have positive effects on job performance. fsQCA findings reveal that, except hope, combinations of PsyCap and MarCap components form several sufficient conditions for job performance. Research limitations/implications The focus of this study is on marketers, that is, at the individual level. Future research should examine both PsyCap and MarCap at a higher level, such as the team, unit, or firm level. Practical implications The study’s findings suggest that firms should pay attention not only to the net effect but also to the configuration of PsyCap and MarCap when designing and implementing their human resource strategies and policies. Originality/value This study contributes to the literature on human capital resources by confirming the configurational roles of PsyCap and MarCap in marketers’ job performance.

Strategic entrepreneurship: mediating the entrepreneurial orientation-performance link

2016 ◽  
Vol 54 (1) ◽  
pp. 24-43 ◽  
Author(s):  
Deniz Kantur
Keyword(s):  
Organizational Performance ◽  
Entrepreneurial Orientation ◽  
Structural Equation ◽  
Equation Modeling ◽  
Firm Level ◽  
Data Set ◽  
Content Type ◽  
Strategic Entrepreneurship ◽  
The Relationship ◽  
Practical Implications

Purpose – The purpose of this paper is to develop a better understanding of the relationship between firm-level entrepreneurship and organizational performance in an emerging economy through assessing the mediating influence of strategic entrepreneurship between entrepreneurial orientation and organizational performance. The extant literature on the relationship between firm-level entrepreneurship and organizational performance points to a lack of clarification of the link between real entrepreneurial events and organizational performance. Design/methodology/approach – Data are collected from 324 respondents in 118 companies in four different industries. The paper adopts structural equation modeling to test the mediated relationship. Findings – The results show that strategic entrepreneurship fully mediates the relationship between entrepreneurial orientation and organizational performance, assessed as two major categories of financial and non-financial performance. Research limitations/implications – The dominance of four industries in the data set limits the generalizability of the findings. Practical implications – Findings highlight strategic and practical implications for managers especially in emerging economies who seek to enhance competitive advantage and exploit market opportunities through entrepreneurial initiatives. Originality/value – The current study develops a measure of strategic entrepreneurship concept and attempts to contribute to the literature through differentiating between behavioral intentions toward entrepreneurship and real entrepreneurial events at the firm-level to serve as a step to reduce the ambiguity present in the field.

From managing customers to joint venturing with customers: co-creating service value in the digital age

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Christine Falkenreck ◽  
Ralf Wagner
Keyword(s):  
Perceived Risk ◽  
Structural Equation ◽  
Business Models ◽  
Joint Venture ◽  
Digital Age ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Data Set ◽  
Content Type

Purpose Until today, scholars claim that the phenomenon of “co-creation” of value in an “interacted” economy and in the context of positive actor-to-actor relationships has not been adequately explored. This study aims to first to identify and separate the accessible values of internet of things (IoT)-based business models for business-to-business (B2B) and business-to-government (B2G) customer groups. It quantifies the drivers to successfully implement disruptive business models. Design/methodology/approach Data were gathered from 292 customers in Western Europe. The conceptual framework was tested using partial least square structural equation modeling. Findings Managing disruptions in the digital age is closely related to the fact that the existing trust in buyer-seller relationships is not enough to accept IoT projects. A company’s digitalization capabilities, satisfaction with the existing relationship and trust in the IoT credibility of the manufacturer drives the perceived value of IoT-based business models in B2B settings. Contrastingly, in B2G settings, money is less important. Research limitations/implications Research refers to one business field, the data set is of European origin only. Findings indicate that the drivers to engage in IoT-related projects differ significantly between the customer groups and therefore require different marketing management strategies. Saving time today is more important to B2G buyers than saving money. Practical implications The disparate nature of B2B and B2G buyers indicates that market segmentation and targeted marketing must be considered before joint-venturing in IoT business models. To joint venture supply chain partners co-creating value in the context of IoT-related business models, relationship management should be focused with buyers on the same footing, as active players and co-developers of a personalized experience in digital service projects. Originality/value Diverging from established studies focusing on the relationship within a network of actors, this study defines disruptive business models and identifies its drivers in B2B and B2G relationships. This study proposes joint venturing with B2B and B2G customers to overcome the perceived risk of these IoT-related business models. Including customers in platforms and networks may lead to the co-creation of value in joint IoT projects.

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.

Emotional exhaustion as a mediator among workplace loneliness, work alienation and turnover intention

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Didem ÖZTÜRK ÇİFTCİ
Keyword(s):  
Emotional Exhaustion ◽  
Turnover Intention ◽  
Structural Equation ◽  
Shopping Mall ◽  
Equation Modeling ◽  
Data Set ◽  
Bootstrap Analysis ◽  
Content Type ◽  
Mediating Role ◽  
Work Alienation

PurposeThe purpose of this study is to determine the effect of loneliness and alienation in the workplace on the intention of leaving employment and whether emotional exhaustion has a mediating role in this effect.Design/methodology/approachThe hypotheses generated within the framework of the study model were evaluated by using the data set obtained from 402 survey participants working at nine shopping malls in the Central and Eastern Black Sea regions of Turkey and statistical analysis programs. In this context, the confirmatory factor analysis (CFA) was used to determine the validity of the scale and the structural equation modeling (SEM) was used to test the research hypotheses.FindingsThe study reveals that loneliness and alienation in the workplace have an effect on the intention of leaving employment and that this effect is fully mediated by emotional exhaustion. Whether this full mediating role determined by the SEM is meaningful or not was evaluated by Bootstrap analysis and the results revealed that the effect is meaningful.Practical implicationsDeveloping effective communication channels that will prevent the employee from feeling isolated at work and eliminating the pressure and inadequate physical working conditions created by unrealistic sales targets are recommended. In addition, it is thought that if employees are included in decision-making processes and have sufficient autonomy related to the job, work alienation can be prevented.Originality/valueThis research is important in terms of evaluating shopping centers, which are accepted as the symbol of consumption today, not only with their economic aspects but also with their employees. In this context, the research has revealed that shopping mall employees want to leave their jobs due to emotional exhaustion caused by loneliness and alienation at work.

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.

Impact of business model innovations on SME’s innovativeness and performance

2019 ◽  
Vol 14 (4) ◽  
pp. 521-539 ◽  
Author(s):  
Rimantas Gatautis† ◽  
Egle Vaiciukynaite ◽  
Asta Tarute
Keyword(s):  
Business Model ◽  
Structural Equation ◽  
Positive Impact ◽  
Equation Modeling ◽  
Future Research ◽  
Data Set ◽  
Content Type ◽  
Innovation Activities ◽  
Organizational Inertia ◽  
Multiple Characteristics

Purpose Business model innovations (BMIs), their drivers and outcomes are attracting increasing attention in academic literature. However, previous studies have mainly focused on large companies, while knowledge of BMI in small-to-medium-sized enterprises (SMEs) is limited. Therefore, the purpose of this paper is to add new insights into how related BMI drivers, practices and outcomes are in relation to SMEs. Design/methodology/approach An extensive review of the existing literature was performed. Consequently, the relationships between BMI drivers, BMI practices and outcomes of BMI were developed as a conceptual framework. An empirical study was carried out. A structural equation modeling (SEM) procedure was used to empirically test the model using a quantitative data set of Lithuanian SMEs (n=73). Findings The study provides insights into the relations between BMI drivers, BMI practices and outcomes of BMI in SMEs. The findings of SEM, four drivers (innovation activities, strategic orientation, market and technology turbulence, respectively) are indicated to contribute to BMI of SMEs. In addition, the results proved that the implementation of BMI practices leads to strategic and architectural changes in firms and has a positive impact on SMEs performance and innovativeness. Research limitations/implications Empirical research is focused on a limited number of internal and external BMI drivers, which have an influence on BMI in SMEs from one geographical region. Consequently, there are many external and internal BMI drivers which also may have an influence on BMI in SMEs, such as industry life cycle, organizational inertia and leadership. Meanwhile, SMEs possess multiple characteristics, i.e. a phase of maturity, gender of CEO, firm size and industry; therefore, the aforesaid aspects are considered to be significant limitations. In addition, the importance of SMEs characteristics as mediators for the effects on a firm’s performance and innovativeness should be considered in future research avenues. Practical implications Findings of this research can be used by SME managers to better understand how firms might actively engage in BMI practices, what drivers lead to BMI and, in turn, affect their firm’s performance and innovativeness. SME managers should be encouraged to pay attention to strategic and architectural changes of BM that can contribute to enterprise performance and innovativeness. Originality/value This paper adds to the stream of BMI research by empirically exploring drivers and outcomes of BMI in SMEs. In addition, this paper fulfills research gaps proposed by Bouwman et al. (2018), Foss and Saebi (2017), Heikkilä, Bouwman and Heikkilä (2018) and Lambert and Davidson (2013), and enhances the current overall understanding of BMIs.

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