The Changing Nature of Research in the<i>Transportation Journal</i>: Some Historical Perspectives

Murphy, Peter; Poist, Richard F.; Crum, Michael R.

doi:10.5325/transportationj.50.1.0023

Cited by 14 publications

(13 citation statements)

References 20 publications

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“…To illustrate, Murphy et al. () explain how the focus of transportation research changed following deregulation in the United States, with public policy questions being supplanted by questions concerning managerial practice. Thus, the current focus in SCM research of testing “variance‐based” theories (Morgeson et al.…”

Section: Discussionmentioning

confidence: 99%

Leveraging Big Data to Develop Supply Chain Management Theory: The Case of Panel Data

Miller

Ganster

Griffis

2018

J of Business Logistics

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I ncreased data availability is poised to shape both business practice and supply chain management (SCM) research. This article addresses an issue that can arise when trying to use big data to answer academic research questions. This issue is that distilled data often have a panel structure whereby repeated measurements are available on one or more variables for a substantial number of subjects. Thus, to fully leverage the richness of big data for academic research, SCM scholars need an understanding regarding the different types of research questions answerable with panel data. In this article, we devise a framework detailing different types of research questions SCM scholars can answer with panel data. This framework provides a basis to categorize how SCM scholars have examined the services supply chain setting of health care with public data regarding hospital-level patient satisfaction. We extend prior research by testing a series of three questions not yet examined in this area by fitting a series of structured latent curve models to seven years of hospital-level patient satisfaction for nearly 4,000 hospitals. The discussion highlights theoretical and methodological challenges SCM scholars are likely to encounter as they use the panel data in their research.

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Section: Discussionmentioning

confidence: 99%

Leveraging Big Data to Develop Supply Chain Management Theory: The Case of Panel Data

Miller

Ganster

Griffis

2018

J of Business Logistics

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“…From the perspective of Lieb (2009), third-party logistics means that the companies use other organizations to finish the logistics activities which originally should be responsible for themselves. Murphy and Poist (2011) also expressed that third-party logistics can hold the whole logistics process or select some parts of activities. Third-party logistics service companies have neither ownership of goods nor the duty for selling and buying the goods (Vasiliauskas & Jakubauskas, 2013).…”

Section: Third-party Logistics Managementmentioning

confidence: 99%

“…Compared with basic logistics activities, third-party logistics activities encompass more service functions that can meet more customized products. From a longterm perspective, third-party logistics can bring a win-win relationship between the third-party providers and customers (Murphy et al, 2011).…”

Section: Third-party Logistics Managementmentioning

confidence: 99%

“…Challenges of 3PL relationship management practices Murphy and Poist (2011) opined that although there are several advantages of using 3PL relationship management, some drawbacks also exist. It is not easy to establish a reliable and costeffective partnership between the firm and the 3PL provider (Neuman, 2005).…”

Section: Key Benefits Of 3pl Relationship Management Practices On Cos...mentioning

confidence: 99%

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3PL Relationship Management Practices as a Cost Reduction Tool in the Supply Chain: A Case of Stellar Logistics

Baidoo-Baiden¹

2022

AJSCM

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Purpose: The purpose of the study was to examine the nature of the 3PL relationship as a tool for cost reduction at Stellar Logistics Limited. It also examined the challenges affecting the effectiveness of the 3PL relationship. Methodology: A quantitative research approach was utilised to measure and analyse the data descriptively. Structured questionnaires and interviews were conducted to elicit data from the supply chain exerts at Stellar Logistics Company Limited. Data analysis was done based on 30 cases and at the firm level in terms of a unit of analysis. 3PL relationship management is the key tool that links all members of the supply chain at Stellar Logistics. Findings: The study proves management members of Stellar Logistics are aware effective 3PL relationship management leads to mutual trust and confidence in the company and are also aware that commitment is a key factor in creating a stable third-party relationship. Selection and evaluation are crucial in achieving valuable partnerships in the 3PL relationship process as it has the highest response rate in the company. The relationship system at Stellar Logistics requires creating a win/win for 3PL contracting parties. Improper record management makes it difficult to keep track of all shipments at the company. There is a lack of collaboration between the shippers, carriers, and the end customers of the company which affects 3PL relationship management at the company. Finally, unforeseen delays affect the delivery of goods to customers at the company. Recommendations: Stellar Company can help resolve its 3PL relationship problems by setting clear expectations. Again, Stellar Logistics must establish single points of contact. The study also recommend that the company must measure performance in order to salvage its 3PL relationship challenges. Stellar logistics must also involve their 3PL provider in long-term planning.

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“…SCM research output has also expanded, generated by a growing base of scholars (Giannakis 2012 ;Maloni et al 2015 ;Rao, Iyengar, and Goldsby 2013 ). Relying on crossinstitutional and global collaboration, this research growth has included exploration of new topics and theories (Liao-Troth, Thomas, and Fawcett 2012 ;Maloni, Carter, and Carr 2009 ;Murphy, Poist, and Crum 2011 ).…”

mentioning

confidence: 99%

Publication Productivity in the SCM Discipline: 2014–2016

Maloni

Carter

2018

Transportation Journal

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Given the relatively young age of the supply chain management (SCM) discipline, SCM academic programs must be able to validate their effectiveness to compete for university resources. The research herein supports this by extending a longstanding series that evaluates publication productivity across six major SCM journals. This edition ranks the top 25 most productive SCM schools between 2014 and 2016. With the series now celebrating 50 years, the results therefore allow evaluation of a half century of SCM research. The series also evaluates authorship concentration to assess the continued growth of the SCM discipline. Like previous editions, the results reveal that a core set of schools continue to lead SCM research with some holding strong performance throughout the entire 50 years. However, a moderately large portion of the top-25 schools continues to change as new SCM programs emerge globally. The author concentration analysis confirms these results as the growth of new scholars and new SCM programs continue to consistently expand. As a point of concern, however, the global diffusion of SCM authorship and schools graduating new SCM scholars are slowing.

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The Changing Nature of Research in theTransportation Journal: Some Historical Perspectives

Cited by 14 publications

References 20 publications

Leveraging Big Data to Develop Supply Chain Management Theory: The Case of Panel Data

Leveraging Big Data to Develop Supply Chain Management Theory: The Case of Panel Data

3PL Relationship Management Practices as a Cost Reduction Tool in the Supply Chain: A Case of Stellar Logistics

Publication Productivity in the SCM Discipline: 2014–2016

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