{"title":"Driver vs. manager perceptions of commonly used safety practices in commercial motor vehicle operations","authors":"S. Swartz, M. A. Douglas","doi":"10.22237/JOTM/1349049780","DOIUrl":"https://doi.org/10.22237/JOTM/1349049780","url":null,"abstract":"This research investigated the perceptions of Commercial Motor Vehicle Operators and Safety Professionals regarding 35 commonly implemented practices used to improve operating safety. Several differences were found in how drivers of different backgrounds rated various practices, and between the drivers and safety managers. These differences were found to be persistent even when combined with measures of safety performance and experience. Managers tended to overvalue (relative to drivers) practices related to hiring, while drivers tended to overvalue (relative to managers) practices related to company support and reward systems. Motor Carriers, insurers, and regulators could consider areas of agreement with respect to high value practices as actionable for increased investment of resources. At the same time, resources allocated toward areas of low perceived value could be reduced.","PeriodicalId":242296,"journal":{"name":"Journal of Transportation Management","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132896796","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Conflicting perspectives on the government mandate for the use of electronic on-board recording devices in commercial motor vehicles : a case study","authors":"Helen L. Maclennan","doi":"10.22237/JOTM/1349049840","DOIUrl":"https://doi.org/10.22237/JOTM/1349049840","url":null,"abstract":"","PeriodicalId":242296,"journal":{"name":"Journal of Transportation Management","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130142232","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Robert M. Cosenza, R. Southern, Tracy Anna Cosenza, Jerry W. Wilson
{"title":"Reducing long distance truck driver’s intention to leave: An analysis of professional drivers and owner operators using importance/performance methods","authors":"Robert M. Cosenza, R. Southern, Tracy Anna Cosenza, Jerry W. Wilson","doi":"10.22237/JOTM/1349049900","DOIUrl":"https://doi.org/10.22237/JOTM/1349049900","url":null,"abstract":"Since it is widely known that turnover is highest among unsatisfied employees, the authors argue that long haul professional drivers (PDs) and owner operators (OOs) can be retained by using a yearly importance/performance analysis of company drivers. Because qualified drivers are becoming more scarce and difficult to recruit/retain, carriers need to focus on increasing driver retention. In this article, we suggest an Importance/Performance (IP) model which uses an “if then” perspective, relating intention to leave as a function of the PD/OO: IP structure. This model is used to explain the managerial changes that could be made to retain professional drivers and owner operators. INTRODUCTION AND LITERATURE REVIEW Research into the nature and causes of truck driver turnover and retention in the United States has been ongoing for much of the last twentyfive years. Reasons for interest from both researchers and practitioners in this area abound and continue to increase in importance for a number of reasons. The following subsections discuss the industry and the driver retention issue, and highlight some of the reasons for this interest from researchers and practitioners. Growth in Demand First, even after accounting for the prolonged recession in the U.S., the volume of truckload freight movements has declined in some product categories, increased in others, but has shown more strength of demand and even growth than in other areas of the economy. The strength and stability of demand for truck transportation is in part due to growth in international trade. According to Meixell and Norbis (2008), growth in imports and exports in this country have outpaced growth in the economy as a whole and they expect this trend to continue. As the economy continues to improve over the next few years, this will lead to a significant rise in the demand for truck transportation. Of course, as the demand for truck freight transportation increases, the demand for drivers mirrors this change. In fact, the demand for drivers in the U.S. has been growing more rapidly than the supply for a number of years. The increasing gap has implications for all sectors of the economy, not just transportation and logistics. In a 2005 study, it was reported that the supply of truck","PeriodicalId":242296,"journal":{"name":"Journal of Transportation Management","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129291633","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Narsing, T. Sanders, Leonard J. Kistner, Jerry Williams
{"title":"Managing rental car businesses in the new economy : using a multivariate decision model approach","authors":"A. Narsing, T. Sanders, Leonard J. Kistner, Jerry Williams","doi":"10.22237/JOTM/1349049960","DOIUrl":"https://doi.org/10.22237/JOTM/1349049960","url":null,"abstract":"U.S. rental car organizations are having to modify their business models to adapt to the new economy, which includes increased fuel costs, reduced business and leisure travel, and reduced resale of low mileage rental units. Revenue is negatively impacted due to increased maintenance as a result of higher mileage requirements placed on the rental inventory. Changes in the depreciation allowance on the rental car fleet reduced the potential value of vehicles by requiring fleet operations managers to maintain the fleets for longer periods of time. This article presents a multivariate decision-making model, which used in conjunction with in-house performance indicators, will assist operations managers in understanding specific variables likely to impact rental car revenues and optimize their decisions regarding available assets.","PeriodicalId":242296,"journal":{"name":"Journal of Transportation Management","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126974541","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The role of returns management orientation, internal collaboration, and information support in reverse logistics","authors":"E. Mai, Haozhe Chen, Kenneth Anselmi","doi":"10.22237/JOTM/1333238640","DOIUrl":"https://doi.org/10.22237/JOTM/1333238640","url":null,"abstract":"While reverse logistics has gained significant interest in recent years, the research on its antecedents is still far from comprehensive. The current study utilizes data collected from China to empirically test a conceptual model that is developed based on the resource based view of the firm. It is proposed that returns management orientation, internal collaboration, and information support are important predictors of reverse logistics performance. The structural equation modeling analysis supports these proposed relationships. Furthermore, the current study also confirms the positive relationship between a firm’s reverse logistics performance and market performance. INTRODUCTION There is an increasing appreciation of the importance of reverse logistics in recent years due to the value related to effective reverse logistics management. Improving reverse logistics can reduce supply chain costs and create revenue and profit at the same time. Reverse logistics has created a growing industry by running returns backwards through the supply chain. Bloomberg Businessweek calls reverse logistics “from trash to cash” (Anonymous, 2008). As an example, when Lenovo outsources its reverse logistics process to GreenDust, the company is able to reap significant value from the refurbished products (CRN Network, 2012). Reverse logistics is defined as “the process of planning, implementing, and controlling the efficient, cost-effective flow of raw materials, inprocess inventory, finished goods, and related information from the point of consumption to the point of origin for the purpose of recapturing or creating value or proper disposal” (Rogers and Tibben-Lembke, 2001, p. 130). As reverse logistics looks into situations when the resource or material goes at least one step back in the supply chain, return products are processed moving from the typical end destination of customers back to the distributor or to the manufacturer. In other words, all business processes and activities after sale of the product are part of reverse logistics. Every manufacturer, distributor, reseller and retailer is involved in reverse logistics in order to develop efficient solutions. While reverse logistics encompasses a wide range of processes and activities such as recycling and reuse (of both products and materials), repair services, disposal, etc.; returns management is often considered a critical element of reverse logistics. Returns management refers to the management of returned products for the purpose of capturing value or proper disposal. Returns management is the focus on the current study. Studies in the reverse logistics literature have examined various industries, including automobiles (Daugherty, Richey, Hudgens and Autry, 2003), computer hardware (Ravi, Shankar and Tiwari, 2005), retailing, and third-party logistics (Chen, Tian, Ellinger and Daugherty, 2010; Bernon, Rossi and Cullen, 2011). Several researchers have examined modeling perspectives for reverse logistics (R","PeriodicalId":242296,"journal":{"name":"Journal of Transportation Management","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133397033","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. A. Mcginnis, John E. Spillan, A. Kara, K. O. Domfeh
{"title":"A comparison of logistics strategies and integration in the U.S. and Ghana","authors":"M. A. Mcginnis, John E. Spillan, A. Kara, K. O. Domfeh","doi":"10.22237/JOTM/1333238580","DOIUrl":"https://doi.org/10.22237/JOTM/1333238580","url":null,"abstract":"This manuscript empirically compares logistics strategies and outcomes in Ghanaian and U.S. firms to test the underlying factor structure and measurement equivalences of the Bowersox/Daugherty model and its relationship with critical success factors. A structured questionnaire was used to gather data from Ghanaian and American logistics managers. Using confirmatory factor analysis (CFA), we compared the three dimensions of Overall Logistics Strategy (OLS) - Process Strategy, Market Strategy, and Information Strategy – in the two countries. A structural equation model (SEM) was then used to assess the impact of OLS on perceived organizational competitiveness in the two countries. Although the economic, political, and cultural dimensions of the two countries differed substantially, the relationships among the constructs used were similar. Data from both countries provided strong support for the dimensionality of the Overall Logistic Strategy (OLS). In addition, it was found that OLS, when combined with Logistics Coordination Effectiveness (LCE) and Customer Service Effectiveness (CSE), contributes to organizational effectiveness (COMP) in both the countries studied. This research provides insights into comparative logistics in two completely disparate economies and provides support for the Bowersox/Daugherty logistics/supply chain management typology. The manuscript also provides insights into comparative logistics/ supply chain management that have not been previously reported through empirical research.","PeriodicalId":242296,"journal":{"name":"Journal of Transportation Management","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121112859","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The physical distribution security system: Who is affecting the vulnerability of goods transprtation?","authors":"L. Urciuoli","doi":"10.22237/JOTM/1333238700","DOIUrl":"https://doi.org/10.22237/JOTM/1333238700","url":null,"abstract":"The purpose of this study is to explore the vulnerability of physical distribution networks to antagonistic threats. Previous research identifies globalization and Just in Time (JIT) as the main causes of vulnerability. However, cargo crime has always existed, even before the identification of these trends. In this explorative study new factors are brought to light. In particular, it appears that stakeholders’ dynamics are influencing the level of security. weapons for mass destruction could be used as a weapon against sensitive targets (Rice and Spayd, 2005). As a consequence, governments are actively working to secure their borders and inland transportation systems by setting policies and standards that ultimately demand supply chain companies operate under heightened security (Sheffi, 2001). Previous research points out the importance of risk management approaches to deal with supply chain security (Giunipero and Eltantawy, 2004; Spekman and Davis, 2004). Spekman and Davis (2004) identify six categories of supply chain related risks and illustrate how to classify them. Giunipero and Eltantawy (2004) emphasize the importance of risk management approaches to evaluate end-to-end technology solutions. Some authors have developed supply chain security frameworks and illustrated future research needs (Autry and Bobbitt, 2008; Williams et al., 2008). Autry and Bobbitt (2008) have developed a framework to address how companies approach the mitigation of supply chain security by means of supply chain risk management. Williams et al. (2008) performed a literature review to categorize Supply Chain Security (SCS) factors and to identify a research agenda focusing on intra-organizational activities and quantitative approaches, making explicit the linkage between security and efficiency.","PeriodicalId":242296,"journal":{"name":"Journal of Transportation Management","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123448518","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"ASSESSING THE STRATEGIC EVOLUTION OF U. S. LOW COST AIRLINES IN THE POST - 9/11 ENVIRONMENT","authors":"C. Scheraga, P. Caster","doi":"10.22237/JOTM/1333238760","DOIUrl":"https://doi.org/10.22237/JOTM/1333238760","url":null,"abstract":"It has been suggested in the literature that low-cost airlines have, in varying degrees, departed from the original low-cost model introduced by Southwest Airlines. This study provides a multi-year analysis in the post-9/11 time period, for the years 2004-2009, of the demonstrated strategic positioning choices of U. S. low-cost airlines. The sample utilized is restricted to U. S. low-cost carriers so as not to conflate operating environments. Furthermore, a quantitative methodology is employed to measure effectively these choices and to facilitate inter-airline comparisons. Airlines, as part of their strategic planning process, articulate positions with regard to cost leadership, product differentiation, and growth. Decisions implemented are dynamic and inter-temporal in nature. Managers thus need a multi-period methodology to evaluate the implementation of strategic positions. One such approach is the strategic analysis of operating income utilized in this study.","PeriodicalId":242296,"journal":{"name":"Journal of Transportation Management","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125197276","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Zachary Williams, Jason E. Lueg, Sean P. Goffnett, S. LeMay, R. Cook
{"title":"Understanding supply chain security strategy","authors":"Zachary Williams, Jason E. Lueg, Sean P. Goffnett, S. LeMay, R. Cook","doi":"10.22237/JOTM/1333238520","DOIUrl":"https://doi.org/10.22237/JOTM/1333238520","url":null,"abstract":"In the post-9/11 environment, organizations are acutely aware of the need to secure their supply chains from risks of being a target of, or an unwilling participant in, a terror attack. However, supply chain security (SCS) comes at a cost and increasing levels of protection have increasing levels of costs to the firm. So some firms engage in strategic initiatives to secure the supply chain (SC) while others do not; and each firm engages in varying degrees of activities to ensure SCS. Therefore, in this study, the researchers sought to explore what types of SCS strategies exist. The researchers analyze 162 responses to a SCS survey completed by executives from a broad range of firms and industries and identify three general SCS strategies: Advanced, Laggards, and Compliant. Implications for researchers and practitioners are presented. INTRODUCTION The events of September 11, 2001 were a catalyst for change in many supply chain operations. Supply chain security issues and initiatives have affected numerous firms (Yang and Wei, 2013). At a minimum, firms want to protect their property and investments. From a larger perspective, firms want to protect society. Clearly, no firm wants its name permanently linked to the next 9/11-like attack. However, Supply Chain Security (SCS) can be difficult to understand and ultimately implement. SCS is unique because if it is working well, it remains virtually invisible. As a result, little is known about SCS strategies. Understanding strategy is at the core of supply chain research (Christopher et al. 2006; Tokman et al. 2007) and it is through firm strategy formulation that cost/benefit considerations are weighed (Tang, 2006). But supply chains, particularly those that are multimodal, are vastly complex (Scholliers et al. 2012), where a multitude of firms in any given network will employ a myriad of strategies. As a result, academicians have dedicated efforts to understanding them, and in some cases guiding them. Research on supply chain strategies has examined the relationship between corporate strategy and SCM (Hofman 2010); logistics strategies (Autry et al. 2008) and logistics activities in relation to firm performance (Lynch et al. 2000); postponement versus speculation (Pagh and Cooper 1998); and changes to strategy based on environmental factors (Atwater et al. 2010).","PeriodicalId":242296,"journal":{"name":"Journal of Transportation Management","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115684467","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"LTL PRICING: LOOKING BACK TO THE FUTURE","authors":"C. Defee, J. Hanna, Robert E. Overstreet","doi":"10.22237/JOTM/1317427440","DOIUrl":"https://doi.org/10.22237/JOTM/1317427440","url":null,"abstract":"Numerous LTL carriers struggled during the recent recession as customers demanded lower prices. This study is designed to qualitatively evaluate the data gathered from three industry segments regarding LTL pricing. Researchers used semi-structured interviews to conduct an in-depth investigation with over two dozen industry experts who represented shippers, carriers, and 3PLs. Interview transcripts were analyzed using a grounded theory coding technique. Five major themes emerged from the interview transcripts. These themes are used to describe possible future adjustments to industry pricing structure.","PeriodicalId":242296,"journal":{"name":"Journal of Transportation Management","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127642496","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}