"Use of cloud computing, web 2,0 and operational performance: the role of supply chain integration"

Bruque-Camara

Minguela‐Rata

2017

IMDS

This paper analyzes the influence of Technology Providers, Public Administrations and R&D Institutions on Cloud Computing adoption. This research also considers Killer Applications and Success Cases as other environmental factors. Design/Methodology/Approach: Factorial analyses and structural equation models were used on a sample of High-Technology firms located in technological parks in Southern Europe, with more than 10 employees and sustained investments in R&D. Findings: Results show that Technology Providers and Success Cases are determinant in Cloud Computing adoption. Moreover, Killer Applications are a forerunner for Success Cases. Originality/value: This study contributes to Cloud Computing adoption literature because it includes Technology Providers, Public Administrations and R&D Institutions simultaneously as well as other variables as Killer Applications and Success Cases. The importance of the external agents on IT adoption, especially when the technologies to be adopted are new and in an emergent stage, together with the lack of prior investigations focusing on specific environmental factors affecting the adoption of these new, emerging IT, justify the value of this research.

Section: Results Discussion and Implicationsmentioning

confidence: 99%

Environment determinants in business adoption of Cloud Computing

Bruque-Camara

Minguela‐Rata

2017

IMDS

“…It is a second-order construct made up of two dimensions: operational performance, with seven items (OP_1, OP_2, OP_3, OP_4, OP_5, OP_6, OP_7), refers to the results that the company achieves in flexibility and delivery performance; and Financial performance, with six items (FP_1, FP_2, FP_3, FP_4, FP_5, FP_6), consists of the value-creating capacity of for-profit organizations and refers to growth and return on sales and profits (Flynn et al, 2010) (Table 2). Respondents were asked to evaluate the questionnaire statements in relation to Supply Chain Flexibility using a 1-7 Likert scale (1 means "in total disagreement" and 7 means "in total agreement") (Flynn et al, 2010;Yu et al, 2013;Bruque et al, 2015Bruque et al, , 2016.…”

Section: Business Performancementioning

confidence: 99%

“…Covariance-based SEM was chosen in preference to variancebased SEM (partial least square or PLS), as is extremely robust to the violation of some underlying distributional assumptions that are common in business research (Reinartz et al, 2009). Covariance-based SEM also outperforms PLS in terms of parameter accuracy as long as the sample size exceeds a certain threshold (250 observations) (Reinartz et al, 2009;Bruque et al, 2015). For these reasons, covariance-based SEM has been selected for this research.…”

Section: Data Analysis: Factorial Analysis and Structural Equation Modelmentioning

confidence: 99%

Total eclipse on business performance and mass personalization: how supply chain flexibility eclipses lean production direct effect

Novais

Bruque

2020

SCM

Self Cite

Purpose This paper aims to analyze the mediating role of Supply Chain Flexibility on the interrelationships binding Lean Production implementation, Mass Personalization and business performance. Design/methodology/approach A random sample of 260 companies obtained from a population of 1,717 Spanish companies that occupy an intermediate position in the supply chain has been used to test the proposed hypothetical framework. Telephone surveys using a computerized system have been used to collect data, obtaining a response rate of 15.6 and a structural equation model has been designed to test the six proposed hypotheses. Findings Companies initially implement Lean Production to optimize Mass Personalization processes and improve business performance. However, in the presence of Supply Chain Flexibility, Lean Production implementation no longer has a direct impact on Mass Personalization and business performance, but it does have an indirect impact through the flexibility it achieves (shown as a total mediating path). Therefore, companies should implement Lean Production to achieve flexibility and thus optimize the Mass Personalization processes and obtain better performance. Originality/value Academics and business managers may have supporting evidence on the role played by the total mediating effect of Supply Chain Flexibility on the relationship between Lean Production, Mass Personalization and business performance. A better knowledge of these management resources and their relationship could affect the way researchers and practitioners approach them, becoming more aware of the important role of the supply chain in competitiveness.

“…This is the goal of companies when they implement Lean Production (LP) (Moyano-Fuentes et al , 2012b). Information technology (IT)-related capabilities have been found to play a major role in improving business performance when LP is implemented (Brunn and Mefford, 2004) and in integrating the supply chain process (Bruque et al , 2015).…”

Section: Introductionmentioning

confidence: 99%

“…IT's power to achieve SCI has also been analysed (Yu et al , 2017). But Cloud Computing is a new phenomenon that has had a rapid uptake in companies, where it is being applied to the supply chain to achieve SCI (Bruque et al , 2015, 2016). It might be of great interest for both theory and practice to jointly analyse the relationships between these three efficiency-seeking mechanisms (LP-IT-SCI) and the effect that they have on business results.…”

Section: Introductionmentioning

confidence: 99%

Lean Production implementation, Cloud-Supported Logistics and Supply Chain Integration: interrelationships and effects on business performance

Novais

Fuentes

2020

IJLM

PurposeWith support from the dynamic capabilities theory, this paper examines the role of Cloud Computing technology use in logistics (Cloud-Supported Logistics) and its effect on business results in Lean manufacturing management (Lean Production implementation) and Supply Chain Integration contexts.Design/methodology/approachUsing the survey method, a random sample of 260 companies in intermediate positions in their supply chains was gathered from a population of 1,717 Spanish companies and used to test five hypotheses. The data were collected by telephone survey using a computerised system with a response rate of 15.6% (260 valid questionnaires). Structural equation modelling was used to test the five proposed hypotheses.FindingsThe findings indicate that Cloud-Supported Logistics use plays an important role in achieving better business results in Lean Production environments. Lean Production has been found to have both a direct effect and an even more powerful indirect effect on performance through the Cloud-Supported Logistics and Supply Chain Integration that these technologies produce. Supply Chain Integration is also found to have a mediating effect in the Cloud-Supported Logistics–performance relationship.Originality/valueThis study is valuable for academics and practitioners as it provides evidence of the relevant role played by Cloud-Supported Logistics in Lean Production implementation contexts. Cloud-Supported Logistics and Lean Production are strategically and operationally linked and their joint use results in Supply Chain Integration and better business performance.