Marketing research using single-item indicators in structural equation models

Petrescu, Maria

doi:10.1057/jma.2013.7

Cited by 216 publications

(141 citation statements)

References 99 publications

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“…The subjects of research are not alone in expecting changes in the future; we expect the methods for doing research on entrepreneurship to also alter in the future. 'Big data' mining [Dahl, 2010;Tirunillai, Tellis, 2014] and 'single source' [Cannon et al, 2007;Petrescu, 2013] methods from marketing research will become widespread in entrepreneurial research. Moreover, focused enactive research [Haskell et al, 2002] -not necessarily in the form already used in entrepreneurship literature [Johannisson, 2011;Fletcher, 2011;Steyaert, Landström, 2011] -will be used instead to create and moderate special focused groups in social media [Cooke, Buckley, 2008].…”

Section: Methodsmentioning

confidence: 99%

Entrepreneurship Theory: New Challenges and Future Prospects

Chepurenko

2015

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Section: Methodsmentioning

confidence: 99%

Entrepreneurship Theory: New Challenges and Future Prospects

Chepurenko

2015

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“…By and large, the use of single item constructs or measures is well-established in the empirical literature, particularly its extensive usage in so modeling approach (e.g. Partial Least Squares Structural Equation Modeling -PLS-SEM) by social scientists (see Ashok et al, 2014;Baumgarth and Schmidt, 2010;Petrescu, 2013;Santos-Cumplido and Linan, 2007).…”

Section: Introductionmentioning

confidence: 99%

Exploring the Effects of Brand Promotion and Brand Image Perception on Business Outcomes of Small-sized Agribusiness Firms

Iwu¹,

Osakwe²,

Ajayi³

2015

Acta Univ. Agric. Silvic. Mendelianae Brun.

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To date there is hardly any empirical evidence in academic literature that branding, particularly brand promotion and brand image perception, plays any signifi cant role in the performance of small-sized agribusiness, especially those in the Sub-Saharan (SSA) region. This study was triggered by the need to fi ll this vacuum. Survey data were collected from small-sized agribusiness fi rms in one of the SSA economic 'powerhouses', which is Nigeria. Employing a contemporary research technique, specifi cally the Consistent Partial Least Square Structural Equation Modeling (denoted as PLSc), the study found that both brand promotion and brand image perception are instrumental for enhancing the organizational performance of small agribusinesses. In sum, the fi ndings lend empirical support to the extant literature on brand promotion and brand image perception as precursors to the performance of fi rms regardless of a its size and business location. The implications of study, limitation and future research directions are further highlighted in the concluding section of the paper.

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“…In the current case, job performance as reported by our interns was measured by single items. The use of single-item indicators in marketing research has been discussed in the literature on previous occasions (see also (Petrescu 2013)). These may be used when there is only one indicator available when the concepts of interest are simple rather than complex (Petrescu 2013).…”

Section: Limitationsmentioning

confidence: 99%

“…The use of single-item indicators in marketing research has been discussed in the literature on previous occasions (see also (Petrescu 2013)). These may be used when there is only one indicator available when the concepts of interest are simple rather than complex (Petrescu 2013). In the current case, there were no pre-existing scales that had already been employed within the context of e-internships.…”

Section: Limitationsmentioning

confidence: 99%

Effort and Reward Effects: Appreciation and Self-Rated Performance in e-Internships

Jeske

Axtell

2017

Social Sciences

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Abstract:As new work and internship options arise, educators, employers and students seek information about the learning benefits of these new arrangements. This is also the case in terms of e-internships. The purpose of this study was to assess the merit of the effort-reward imbalance model to understand appreciation and performance as reported by the e-interns (also known as virtual interns). The study involved a cross-sectional sample of e-interns. The sample was recruited using the snowball technique and two specialized internship portals. Participants were grouped into a number of conditions. Effort conditions depended on participants' reported goal clarity and satisfaction with support. Reward conditions were determined based on the (un-)availability of training and payment in e-internships. When participants fell into high effort or low reward conditions, they reported lower perceived performance. They also felt less valued. The reverse pattern was observed when participants completed their internship under low effort and high reward conditions. By identifying conditions under which e-interns will report higher performance and appreciation, employers are provided with starting points for the design and reward practices. In addition, the results suggest that e-internships may share similar characteristics of traditional internships which may similarly vary in terms of the value and rewards they bring to interns.

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Marketing research using single-item indicators in structural equation models

Cited by 216 publications

References 99 publications

Entrepreneurship Theory: New Challenges and Future Prospects

Entrepreneurship Theory: New Challenges and Future Prospects

Exploring the Effects of Brand Promotion and Brand Image Perception on Business Outcomes of Small-sized Agribusiness Firms

Effort and Reward Effects: Appreciation and Self-Rated Performance in e-Internships

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