Search results

The purpose of this study is to explore the dynamics of trust creation in an early buyer–supplier relationship phase at the interpersonal level. The authors use a brand-based communication approach to investigate the trust–risk–commitment link.

Survey data from 204 senior managers in small and medium-size enterprises (SMEs) in Australia were collected and analyzed.

Results indicate that ability, credibility, benevolence and persona of supplier brand representatives (SBRs) relate significantly to a buyers’ trust in SBR, leading to diminished perceived risk, and increased relationship commitment between the parties. These findings support the importance of using individual representatives who are able to broadcast their supplier’s brand values, and increase trust in exploratory buyer–supplier relationships.

This research focused on SMEs in Australia, investigating exploratory phase of the interpersonal relationships. Future research can investigate large firms interacting in different relationship phases in the light of brand-based communication.

The study describes several strategies for both buying and supplying firms to use, to best use brand-based communication as a means to build trust in the early phases of buyer–supplier relationships.

Prior research has focused on interorganizational trust and established or mature buyer–supplier relationships. This study investigates the initial phase of buyer–supplier relationships, and at the interpersonal exchange level. It also incorporates a role for brand-based communication in the buyer–supplier relationship which has received limited attention in the literature.

This research aims at investigating the common practical problem of how procurement can be transformed from tactical and administrative to becoming an organizational strategic partner and indeed a competitive weapon, using modern technologies in particular. We investigated how procurement can be reinvented, from being digitized to digitalized to digitally integrated, ultimately contributing in business terms beyond supply chain effectiveness but also to profit generation.

A case study approach was designed to investigate three firms, each at very different stages of digital maturity in procurement. Interviews with managers, investigation of processes and documentary materials and in-depth follow-up discussions were conducted.

The iterative digitalization transformation discovered encompasses complexities rooted in organizational structure, supply chain design and the management of the technology for employees' uptake. There are both operations and strategy implications as a result. This initial research phase led to mapping a model of digital maturity as well as identifying its underlying constructs.

This research discovered that the implementation of digital technologies can lead the procurement function of the supply chain to completely grow out of its administrative and clerical shell into a strategic, consultative, value-adding and potentially revenue-generating function, thereby contributing to the well-being of not only the supply chain but also the entire organization.

In this paper, the authors examine the impact of Industry 4.0 (I4.0) technologies on the relationship between total productive maintenance (TPM) practices and maintenance performance.

Data collection was carried out through a multinational survey with 318 respondents from different manufacturing companies located in 15 countries. Multivariate data techniques were applied to analyze the collected data. Diffusion of innovations theory (DIT) was the adopted theoretical lens for our research.

The authors’ findings indicate that I4.0 technologies that aim to process information to support decision-making and action-taking directly affect maintenance performance. Technologies oriented to sensing and communicating data among machines, people, and products seem to moderate the relationship between TPM practices and maintenance performance. However, the extent of such moderation varies according to the practices involved, sometimes leading to negative effects.

With the advances of I4.0, there is an expectation that several maintenance practices and performance may be affected. Our study provides empirical evidence of these relationships, unveiling the role of I4.0 for maintenance performance improvement.

The lean and global character of supply networks today opens supply chains to potential disruptions, especially in volatile environments. Most disruptions are of relatively low potential impact; however, firms also occasionally face high-impact disruptions that may even threaten survival. This study applies and extends absorptive capacity concepts to organize resilience capabilities identified in the literature and to examine whether capabilities that provide low-impact resilience are different from those that provide high-impact resilience. A second and related objective is to evaluate whether low-impact resilience supports high-impact resilience through “learning by experience.”

Survey and industry data are used to understand capabilities involved with achieving both low-impact resilience and high-impact resilience.

The results of our analysis of survey and industry data uncover significant complex interactions in the effects of capabilities and volatility on resilience; suggesting that different absorptive capacity capabilities are related to low-impact resilience and high-impact resilience, respectively, and these effects depend on industry context. Moderating influences of exploitation capability and environmental volatility are consistent with a “learning by experience” explanation of the association of low-impact resilience to high-impact resilience.

This study thus provides a unifying framework with which to consider resiliency capabilities. Further, it answers a question raised in prior research, and it extends our understanding of important relationships between capabilities for different levels of resilience.

Smart Manufacturing (SM) lies at the core of Industry 4.0. Operations management research has identified several factors influencing firms’ ability to adopt SM. However, a clear understanding of capabilities needed to progress in SM is still missing. This paper aims to investigate how absorptive capacity (AC) allows firms to advance in SM and explore how managerial antecedents support the capacity to absorb SM-related knowledge at different stages of SM adoption.

This study adopts an exploratory approach through multiple case studies. Twelve firms, operating as part of the automotive supply chain and exhibiting different stages of SM adoption, constitute the sample.

The results suggest that advancement in SM requires firms to progressively reinforce their AC. Firms’ ability to acquire and assimilate SM knowledge is supported by managerial antecedents encompassing integrative capacities to bridge old and SM technologies, managerial cognition through the clear alignment of SM technologies with strategic goals and knowledge development capabilities through practices oriented to provide senior managers with SM competences.

The findings contribute to SM research by suggesting that AC is a crucial dynamic capability for SM adoption. The results also provide evidence-grounded recommendations to firms engaged in the digital transformation on the managerial capabilities needed to support AC and to progress from lower to higher stages of SM.

This study aims to design a national innovation capability appraisal model. This would indicate Iran’s competitiveness situation among regional countries and suggest factors influencing Iran’s performance promotion.

The methodology included four sections: bibliometric analysis to discover intellectual evolution of innovation capability and related concepts; construction of a multi-division structure of national innovation capability according to the clusters extracted from bibliometric results, and experts’ opinions; creating dynamic network data envelope analysis (DEA) according to designed structure, and analysis of Iran’s performance among regional countries; identification and prioritization of the factors extracted from experts’ opinions that improve Iran’s performance in created network using Fuzzy decision-making trial and evaluation laboratory method.

The contemporary bibliometric analysis by its extracted clusters proved the necessity of a multi-division for measuring national innovation capability performance that each division and indicators of each step were designed according to clusters concepts. In designed structure, dynamic network DEA results revealed the weakness of Iran’s performance in the third division in the transformation of patents and high-tech imports to high-tech and creative exports, which led to proposing improving factors by getting experts’ opinions to enhance Iran’s performance in this division by prioritizing them.

One of the limitations of this research was that the indicators used in three phases of national innovation capability in DEA were extracted only from the World Intellectual Property Organization database. Another limitation was the number of experts in focus group sessions because due to the difficulty of gathering them in one session, the researchers lost the participation of some of these recognized experts. Also, the research concentration was on the improvement of the third phase of national innovation capability, in which Iran’s performance was weak.

Creating a relationship between the divisions of dynamic network DEA, as a national innovation capability appraisal model, and the concepts of clusters extracted from reviewing the intellectual structure and evolution of innovation capability and related concepts.