Gender’s moderating role in the relationship between organisational form and performance in the Spanish supermarket industry

Vázquez‐Suárez, Luis; Mejía-Vásquez, Pericles Ramón; Silva, Sheila Serafim da; Sánchez‐Gómez, Roberto

doi:10.1016/j.jretconser.2021.102757

Cited by 10 publications

(4 citation statements)

References 100 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…That is, no significant difference was found regarding the impact of attitude on intention between women and men. This finding is contradictory to the literature which shows that consumer behaviour tends to vary depending on gender (e.g., Booth & Nolen, 2012;Shurchkov, 2012;Buser et al, 2014;Sutter & Glätzle-Rützler, 2015;Vázquez-Suárez et al, 2022).…”

Section: Discussioncontrasting

confidence: 99%

“…In consumer behaviour research, gender is considered an important factor as people's behaviour tends to vary depending on gender, i.e., males behave differently than females (Booth & Nolen, 2012;Shurchkov, 2012;Buser, Niederle, & Oosterbeek, 2014;Maseeh et al, 2021b;Sutter & Glätzle-Rützler, 2015;Vázquez-Suárez, Mejía-Vásquez, da Silva, & Sánchez-Gómez, 2022). Existing research has examined gender differences in various contexts, such as financial perceptions and satisfaction (Hira & Mugenda, 2000;Dittmar, 2005); consumption habits, needs, and preferences (Caterall & Maclaran, 2001); and compulsive buying (Mueller et al, 2011;Tarka, Kukar-Kinney, & Harnish, 2022).…”

Section: Moderating Role Of Gendermentioning

confidence: 99%

See 1 more Smart Citation

Impact of Customers Attitude Towards and Behavioural Intention to Shop at Brick-and-Mortar Stores: Moderating Role of Gender

Rehman¹

2022

berj

View full text Add to dashboard Cite

Section: Discussioncontrasting

confidence: 99%

Section: Moderating Role Of Gendermentioning

confidence: 99%

Impact of Customers Attitude Towards and Behavioural Intention to Shop at Brick-and-Mortar Stores: Moderating Role of Gender

Rehman¹

2022

berj

View full text Add to dashboard Cite

“…Therefore, using this theory as a basis, this study defines gender as the decision-making process of people of different sex that conforms their identity to their gender schema. Previous literature has shown that males and females have different decision-making mechanisms [40], [41]. Moreover, Li et al (2008) found that control variables significantly impact the forecasting capabilities of a research model.…”

Section: Gender Nationalism Age and Educationmentioning

confidence: 95%

Elucidating the Impact of Electronic Word of Mouth to the Intention to Use Linkedin for Asean Jobseekers: Moderating Role of Gender

Suryo,

Stepanus

2023

JurnalTAM

View full text Add to dashboard Cite

LinkedIn is one of the most popular e-recruitment tools for job applicants. Although previous studies had explored the effectiveness of LinkedIn, the underlying cause of jobseekers' intention to use LinkedIn is still under-researched. This study examines the impact of Electronic Word of Mouth (eWOM) to the behavioral intention (BI) of jobseekers to use LinkedIn, using the Technology Acceptance Model (TAM) as the framework. The Partial Least Square Structural Equation Modelling (PLS-SEM) was applied to analyze 431 samples of ASEAN Jobseekers via SmartPLS 3. Findings show that eWOM positively influences the perceived ease of use (PEOU), Perceived Usefulness (PU), and Attitude (AT) of jobseekers, which consequently positively impacts the jobseekers' behavioral intention (BI) to use LinkedIn. The mediating role of PEOU, PU., and AT was also examined and shows that the three variables partially mediate the relationship between eWOM and BI. Theoretically, this study uncovers the significance of eWOM in new technology acceptance. Practically, managers can use this information to increase positive eWOM of their company’s LinkedIn profiles to attract more decent talents to the company. To the authors' knowledge, this study is one of the first investigations into how external variables influence the TAM Model in e-recruitment which uses regional samples instead of specific country-wide samples.

show abstract

“…For example, the average franchise entrepreneurship can lead to four jobs (Department of Commerce, 2008). The franchise literature encompasses studies based on organizational form (Fernández-Barcala et al, 2022;Kaufmann & Stanworth, 1995;Vazquez-Suarez et al, 2022), management strategy (Gillis et al, 2011(Gillis et al, , 2020Weaven et al, 2014;Zheng et al, 2020), decentralized location (Michael, 2000), operational risk (Michael, 1996;Pizanti & Lerner, 2003;Wong, 2021), franchise system (Cox & Mason, 2007;Sawant et al, 2021), standardized franchise systems (Kaufmann & Eroglu, 1998;Ketchen et al, 2011), and the selection of franchisees (Ghantous & Das, 2018;Wang & Altinay, 2008). This indicates that franchise research is an important area for entrepreneurship management.…”

mentioning

confidence: 99%

The construction of a franchise entrepreneurship decision model: The example of convenience store chains in Taiwan

2023

View full text Add to dashboard Cite

Opportunity identification, opportunity development, and evaluation studies are the main contents in the entrepreneurship literature, but there lacks in‐depth research on the decision‐making process of franchise entrepreneurship. Through case interviews and literature review, this paper presents the cases of four franchise entrepreneurs of convenience store chains in Taiwan as examples to develop a new model of a franchise entrepreneurship decision‐making process. In addition to the new model of this decision‐making process, the following key observations are made based on the case comparison analysis. (1) Franchise entrepreneurs with prior knowledge of relevant industries were all affected by prior knowledge in both industrial decision and organizational type (self‐employment/franchise/merger) decision. Franchise entrepreneurs without prior knowledge of related industries were influenced by social network in both industrial decision and organizational (self‐employment/franchise/merger) decision. (2) Franchise entrepreneurs with prior knowledge of related industries were influenced by prior knowledge and potential financial reward in brand decision. Franchise entrepreneurs without prior knowledge of related industries were influenced by social network and potential financial reward in brand decision. (3) Franchise entrepreneurs with prior knowledge of related industries were influenced by prior knowledge, potential financial reward, and financial resources of the franchise headquarters in the franchise type (franchising/commissioning) decision. Franchise entrepreneurs without prior knowledge of the relevant industry were influenced by the social network, potential financial reward, and financial resources of the franchise headquarters in the franchise type (franchise/authorized chain) decision. (4) Franchise entrepreneurs were influenced by potential financial reward and franchise headquarters management knowledge in the location decision of the start‐up process, regardless of having prior knowledge of the industry or not.

show abstract

Gender’s moderating role in the relationship between organisational form and performance in the Spanish supermarket industry

Cited by 10 publications

References 100 publications

Impact of Customers Attitude Towards and Behavioural Intention to Shop at Brick-and-Mortar Stores: Moderating Role of Gender

Impact of Customers Attitude Towards and Behavioural Intention to Shop at Brick-and-Mortar Stores: Moderating Role of Gender

Elucidating the Impact of Electronic Word of Mouth to the Intention to Use Linkedin for Asean Jobseekers: Moderating Role of Gender

The construction of a franchise entrepreneurship decision model: The example of convenience store chains in Taiwan

Contact Info

Product

Resources

About