Innovation Capabilities: Technology Use, Productivity Growth and Business Performance: Evidence from Canadian Technology Surveys

The Effect Of Technology Use On Productivity Growth

Economics of Innovation and New Technology ◽

10.1080/10438599800000026 ◽

1998 ◽

Vol 7 (1) ◽

pp. 1-26 ◽

Cited By ~ 29

Author(s):

Robert H. Mcguckin ◽

Mary L. Streitwieser ◽

Mark Doms

Keyword(s):

Productivity Growth ◽

Technology Use

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Understanding Productivity: Lessons from Longitudinal Microdata

Journal of Economic Literature ◽

10.1257/jel.38.3.569 ◽

2000 ◽

Vol 38 (3) ◽

pp. 569-594 ◽

Cited By ~ 701

Author(s):

Eric J Bartelsman ◽

Mark Doms

Keyword(s):

Human Capital ◽

Productivity Growth ◽

Technology Use ◽

Aggregate Productivity ◽

Entry And Exit ◽

Resource Reallocation ◽

Managerial Ability ◽

Productivity Differentials

This paper reviews research that uses longitudinal microdata to document productivity movements and to examine factors behind productivity growth. The research explores the dispersion of productivity across firms and establishments, the persistence of productivity differentials, the consequences of entry and exit, and the contribution of resource reallocation across firms to aggregate productivity growth. The research also reveals important factors correlated with productivity growth, such as managerial ability, technology use, human capital, and regulation. The more advanced literature in the field has begun to address the more difficult questions of the causality between these factors and productivity growth.

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

The International Journal of Logistics Management ◽

10.1108/ijlm-02-2019-0052 ◽

2020 ◽

Vol 31 (3) ◽

pp. 629-663

Author(s):

Luciano Novais ◽

Juan Manuel Maqueira Marín ◽

José Moyano-Fuentes

Keyword(s):

Supply Chain ◽

Technology Use ◽

Business Performance ◽

Dynamic Capabilities ◽

Lean Production ◽

Mediating Effect ◽

Supply Chain Integration ◽

Survey Method ◽

Content Type ◽

Business Results

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.

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PERSPECTIVES ON THE PERFORMANCE OF SUPPLY CHAIN SYSTEMS: THE EFFECTS OF ATTITUDE AND ASSIMILATION

International Journal of Information Technology & Decision Making ◽

10.1142/s021962201100449x ◽

2011 ◽

Vol 10 (04) ◽

pp. 635-658 ◽

Cited By ~ 10

Author(s):

SHUN CHUAN HO ◽

WILLIAM YU CHUNG WANG ◽

DAVID J. PAULEEN ◽

PING HO TING

Keyword(s):

Supply Chain ◽

Information Systems ◽

Technology Use ◽

Business Strategy ◽

Business Performance ◽

Positive Impact ◽

Ease Of Use ◽

The Body ◽

Perceived Usefulness ◽

Perceived Ease Of Use

The introduction of information systems into industry to enhance operational efficiency is a common business strategy. Introducing such information systems should be expected to enhance employee satisfaction if the systems work as expected. Based on previous studies of supply chain management (SCM) and using institution theory, and technology use and acceptance models, this study applies the lens of attitude and assimilation to explore employee behavior toward using SCM systems after implementation, as well as how employees' attitude and assimilation impact on the performance of the supply chain. Collecting data from employees in the relevant departments from selected companies through a survey and applying SEM in the analysis, the study finds that the employee's perceived ease of use, perceived usefulness, and the subjective norm (Theory of Reasoned Action) have a positive impact on their attitudes toward their use of the SCM systems. Furthermore, it was found that top management's positive beliefs and participation also have a positive impact on assimilation and SCM performance. Finally, it was found that attitudes toward the use of SCM systems impact upon information performance but not in other outcomes of SCM operations. Implications for research and practice are raised. This study contributes to the body of knowledge by adding to our understanding of the relationships among users' attitude, assimilation, and business performance at the post-adoption stage within the context of SCM systems.

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