Sheila Namagembe, Joseph Ntayi Mpeera and Awad Kalid
This study aims to examine the influence of market logics on tendering capabilities and small and medium enterprise (SME) involvement in public procurement, the influence of SME…
Abstract
Purpose
This study aims to examine the influence of market logics on tendering capabilities and small and medium enterprise (SME) involvement in public procurement, the influence of SME governance mechanisms on tendering capabilities and SME involvement in public procurement and the influence of tendering capabilities on SME involvement in public procurement.
Design/methodology/approach
Data was collected from owners/managers of SMEs registered by the Public Procurement and Disposal of Public Assets Authority. The SPSS software and CB-SEM software were used to obtain results on the influence of market logics on tendering capabilities and SME involvement in public procurement, the influence of SME governance mechanisms on tendering capabilities and SME involvement in public procurement and the influence of tendering capabilities on SME involvement in public procurement.
Findings
Findings indicated that SME involvement in public procurement is mainly influenced by their governance mechanisms whilst both market logics and governance mechanisms had a positive influence on tendering capabilities of SME firms. Market logics and tendering capabilities had no effect on SME involvement.
Research limitations/implications
The study mainly focussed on SMEs’ involvement in public procurement. The research has implications for decision makers in government and SME firms concerned with enhancing levels of SME involvement in public procurement activities.
Originality/value
Many governments are now focussing on procurement lot sizing so as to increase SME involvement in public procurement. Despite the use of lot sizing, SME involvement in public procurement is still low in many developing countries and also declining in others. Aspects such as market logics and governance mechanisms that may help understand the variations in involvement have not been given significant attention.
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Eloy Gil-Cordero, Pablo Ledesma-Chaves, Rocío Arteaga Sánchez and Ari Melo Mariano
The aim of this study is to examine the behavioral intention (BI) to adopt the Coinbase Wallet by Spanish users.
Abstract
Purpose
The aim of this study is to examine the behavioral intention (BI) to adopt the Coinbase Wallet by Spanish users.
Design/methodology/approach
A survey was administered to individuals residing in Spain between March and April 2021. There were 301 questionnaires analyzed. This research applies a new predictive model based on technology acceptance model (TAM) 2, the unified theory of acceptance and use of technology (UTAUT) model, the theory of perceived risk and the commitment trust theory. A mixed partial least squares structural equation modeling (PLS-SEM)/fuzzy-set qualitative comparative analysis (fsQCA) methodology was employed for the modeling and data analysis.
Findings
The results showed that all the variables proposed have a direct and positive influence on the intention to use a Coinbase Wallet. The findings present clear directions for traders, investors and academics focused on improving their understanding of the characteristics of these markets.
Originality/value
First, this study addresses important concerns relating to the adoption of crypto-wallets during the global pandemic. Second, this research contributes to the existing literature by adding electronic word of mouth (e-WOM), trust, web quality and perceived risk as new drivers of the intention to use the Coinbase Wallet, providing unique and innovative insights. Finally, the study offers a solid methodological contribution by integrating linear (PLS) and nonlinear (fsQCA) techniques, showing that both methodologies provide a better understanding of the problem and a more detailed awareness of the patterns of antecedent factors.
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Razib Chandra Chanda, Ali Vafaei-Zadeh, Haniruzila Hanifah and T. Ramayah
This research aims to explore the factors influencing the adoption intention of eco-friendly smart home appliances among residents in densely populated urban areas of a developing…
Abstract
Purpose
This research aims to explore the factors influencing the adoption intention of eco-friendly smart home appliances among residents in densely populated urban areas of a developing country.
Design/methodology/approach
A quantitative research approach was employed to gather data from 348 respondents through purposive sampling. A comparative analysis strategy was then utilized to investigate the adoption of eco-friendly smart home appliances, combining both linear (PLS-SEM) and non-linear (fsQCA) approaches.
Findings
The results obtained from PLS-SEM highlight that performance expectancy, facilitating conditions, hedonic motivation, price value, and environmental knowledge significantly influence the adoption intention of eco-friendly smart home appliances. However, the findings suggest that effort expectancy, social influence, and habit are not significantly associated with customers' intention to adopt eco-friendly smart home appliances. On the other hand, the fsQCA results identified eight configurations of antecedents, offering valuable insights into interpreting the complex combined causal relationships among these factors that can generate (each combination) the adoption intention of eco-friendly smart home appliances among densely populated city dwellers.
Research limitations/implications
This study offers crucial marketing insights for various stakeholders, including homeowners, technology developers and manufacturers, smart home service providers, real estate developers, and government entities. The findings provide guidance on how these stakeholders can effectively encourage customers to adopt eco-friendly smart home appliances, aligning with future environmental sustainability demands. The research implications underscore the significance of exploring the antecedents that influence customers' adoption intention of eco-friendly technologies, contributing to the attainment of future sustainability goals.
Originality/value
The environmental sustainability of smart homes, particularly in densely populated city settings in developing countries, has received limited attention in previous studies. Therefore, this study aims to address the pressing issue of global warming and make a meaningful contribution to future sustainability goals related to smart housing technologies. Therefore, this study employs a comprehensive approach, combining both PLS-SEM (linear) and fsQCA (non-linear) techniques to provide a more thorough examination of the factors influencing the adoption of environmentally sustainable smart home appliances.