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Article
Publication date: 4 August 2021

Jin Li, Linlin Chai, Chanchai Tangpong, Michelle Hong and Rodney D. Traub

This study aims to examine empirically the existence of four classical and four emerging buyer–supplier relationship (BSR) types and how they differ in terms of behavioral…

812

Abstract

Purpose

This study aims to examine empirically the existence of four classical and four emerging buyer–supplier relationship (BSR) types and how they differ in terms of behavioral dynamics and performance measures.

Design/methodology/approach

This study uses an online survey to collect data from 371 purchasing managers in the USA.

Findings

A cluster analysis statistically supports the existence of five of these eight BSR types, including strategic/bilateral partnership, market/discrete, supplier-led collaboration, captive supplier/buyer dominant and captive buyer/supplier dominant BSRs. Further, ANOVA tests show that these five BSRs differ in terms of behavioral outcomes and performance measures.

Research limitations/implications

This study is based on a cross-sectional survey so it cannot examine how these BSR types may evolve over time, and it is not suitable to examine some rare types of BSRs. In addition, this study does not consider contextual factors that may moderate the influence of BSR types on the behavioral dynamics and performance measures.

Practical implications

Managers should consider the potential to be able to develop and enhance a strategic/bilateral relationship with their supply chain partners, which in at least some circumstances can lead to superior performance results. Similar observations can be made with respect to supplier-led and, to a lesser degree, buyer-led collaboration.

Originality/value

Most existing research of the BSR types is largely a product of theoretical classifications, and there is also a lack of research of their performance implications. This study fills these gaps in the literature.

Details

Journal of Business & Industrial Marketing, vol. 37 no. 4
Type: Research Article
ISSN: 0885-8624

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Article
Publication date: 2 March 2015

Chanchai Tangpong, Michael D. Michalisin, Rodney D Traub and Arlyn J. Melcher

The purpose of this study is to review the existing typologies of buyer-supplier relationships (BSRs) in the literature, to critically assess their dimensions and underlying…

15849

Abstract

Purpose

The purpose of this study is to review the existing typologies of buyer-supplier relationships (BSRs) in the literature, to critically assess their dimensions and underlying assumptions, and to propose a more complete BSR typology and future directions for BSR typology research.

Design/methodology/approach

This study takes a conceptual approach in highlighting the limitations of existing BSR typologies and synthesizing their key typology-defining variables when proposing an alternative BSR typology.

Findings

The proposed BSR typology is based on alternative behavioral assumptions: bounded rationality and choice-determinism, and uses relationalism, supplier dependence and buyer dependence as the typology-defining variables. This BSR typology captures four prominent BSR types in the extant literature (i.e. market/discrete relationship, captive-buyer/supplier-dominant relationship, captive-supplier/buyer-dominant relationship and strategic/bilateral partnership) and four new BSR types developed in this study (i.e. supplier-led collaboration, buyer-led collaboration, competitive/win–lose partnership, and free will/voluntary collaboration).

Research limitations/implications

The performance implications of the new BSR types have yet to be empirically tested; however, empirical approaches for future research are discussed.

Originality/value

As BSR typology research has been conducted over the years, a thorough review and systematic assessment of the extant research in terms of fundamental assumptions, typology-defining variables, overall progress and limitations becomes an important reflective task in guiding future research efforts toward the collective advancement in this line of inquiry. Departing from the existing literature, this study also uses more realistic BSR assumptions and a more complete set of typology-defining variables in developing an alternative BSR typology, arguably more complete and more theoretically sound than the previous BSR typologies in the literature.

Details

Journal of Business & Industrial Marketing, vol. 30 no. 2
Type: Research Article
ISSN: 0885-8624

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Article
Publication date: 22 February 2022

Thais Aparecida Dibbern, Izabela Simon Rampasso, Milena Pavan Serafim, Rodnei Bertazzoli, Walter Leal Filho and Rosley Anholon

The purpose of the article is to understand how the literature has been addressing the United Nations' Sixth Sustainable Development Goal (SDG) to obtain an overview of the…

259

Abstract

Purpose

The purpose of the article is to understand how the literature has been addressing the United Nations' Sixth Sustainable Development Goal (SDG) to obtain an overview of the current scenario and future perspectives.

Design/methodology/approach

For that, a bibliometric analysis will be conducted with documents published between 2015 and 2021 and present in the Web of Science database. Initially, 328 documents were identified, and after careful reading of titles and abstracts, 239 documents were analysed. The documents were analysed using tools available on the Web of Science database and the software Bibliometrix.

Findings

Amongst the results generated, it should be highlighted the identification of the motor themes “sustainable development” + “developing countries” and “water security”, presenting a significant relevance to the field and a high development level. In addition, “human rights” was verified as an emerging theme in the context of SDG 6 debates.

Originality/value

The information provided here offers good documentation of the extent to which SDG 6 is documented in the literature and can be helpful for researchers interested in the topic.

Details

Kybernetes, vol. 52 no. 9
Type: Research Article
ISSN: 0368-492X

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Article
Publication date: 13 February 2007

Juha‐Matti Lehtonen, Jaakko Kujala, Juhani Kouri and Mikko Hippeläinen

The high variability in cardiac surgery length – is one of the main challenges for staff managing productivity. This study aims to evaluate the impact of six interventions on…

1065

Abstract

Purpose

The high variability in cardiac surgery length – is one of the main challenges for staff managing productivity. This study aims to evaluate the impact of six interventions on open‐heart surgery operating theatre productivity.

Design/methodology/approach

A discrete operating theatre event simulation model with empirical operation time input data from 2,603 patients is used to evaluate the effect that these process interventions have on the surgery output and overtime work. A linear regression model was used to get operation time forecasts for surgery scheduling while it also could be used to explain operation time.

Findings

A forecasting model based on the linear regression of variables available before the surgery explains 46 per cent operating time variance. The main factors influencing operation length were type of operation, redoing the operation and the head surgeon. Reduction of changeover time between surgeries by inducing anaesthesia outside an operating theatre and by reducing slack time at the end of day after a second surgery have the strongest effects on surgery output and productivity. A more accurate operation time forecast did not have any effect on output, although improved operation time forecast did decrease overtime work.

Research limitations/implications

A reduction in the operation time itself is not studied in this article. However, the forecasting model can also be applied to discover which factors are most significant in explaining variation in the length of open‐heart surgery.

Practical implications

The challenge in scheduling two open‐heart surgeries in one day can be partly resolved by increasing the length of the day, decreasing the time between two surgeries or by improving patient scheduling procedures so that two short surgeries can be paired.

Originality/value

A linear regression model is created in the paper to increase the accuracy of operation time forecasting and to identify factors that have the most influence on operation time. A simulation model is used to analyse the impact of improved surgical length forecasting and five selected process interventions on productivity in cardiac surgery.

Details

International Journal of Health Care Quality Assurance, vol. 20 no. 1
Type: Research Article
ISSN: 0952-6862

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