A Literature Survey on Information Logistics

The notion of information logistics (IL) has been introduced as a new information management paradigm. Goal is to enable the effective and efficient delivery of needed information in the right format, granularity and quality, at the right place, at the right point in time to the right actors. IL has received much attention in recent years, both from researchers and practitioners. In order to better understand the state-of-the-art and current research trends in the research field of IL, this paper presents a comprehensive IL literature survey. In total, we identified 53 scientific articles discussing IL concepts and approaches. These articles were systematically analyzed and finally classified in ten research clusters. Based on these clusters, a more comprehensive understanding of past, current, and future IL developments becomes possible

The impact of knowledge management on the quality of logistics operations in Panama

This research analyzes the quality of logistics operations in terms of the impact exerted by knowledge management variables; explicitly, knowledge generation, knowledge dissemination, knowledge interpretation and knowledge responsiveness. Our research hypotheses are that the quality of logistics operations depends directly on knowledge responsiveness, and that knowledge generation influences knowledge dissemination, which influences interpretation of knowledge. This last variable impacts knowledge responsiveness. A questionnaire survey is designed to collect data among companies conducting logistics operations in Panama, Central America. In order to test the hypotheses, we first validate the measurement instruments through content analysis, reliability and validity tests. The statistical data analysis includes t-test of the means, factor analysis, and regression. The results should provide useful information regarding the quality of logistics operations and its dependence on knowledge management. This is important for academia as wells as industry; on one side the research hopes to offer a contribution to the existing logistics operations literature regarding the relationship between the variables under study, and on the other side companies will have useful information for decision making.This research analyzes the quality of logistics operations in terms of the impact exerted by knowledge management variables; explicitly, knowledge generation, knowledge dissemination, knowledge interpretation and knowledge responsiveness. Our research hypotheses are that the quality of logistics operations depends directly on knowledge responsiveness, and that knowledge generation influences knowledge dissemination, which influences interpretation of knowledge. This last variable impacts knowledge responsiveness. A questionnaire survey is designed to collect data among companies conducting logistics operations in Panama, Central America. In order to test the hypotheses, we first validate the measurement instruments through content analysis, reliability and validity tests. The statistical data analysis includes t-test of the means, factor analysis, and regression. The results should provide useful information regarding the quality of logistics operations and its dependence on knowledge management. This is important for academia as wells as industry; on one side the research hopes to offer a contribution to the existing logistics operations literature regarding the relationship between the variables under study, and on the other side companies will have useful information for decision making

A taxonomy of supply chain innovations

In this paper, a taxonomy of supply chain and logistics innovations was developed and presented. The taxonomy was based on an extensive literature survey of both theoretical research and case studies. The primary goals are to provide guidelines for choosing the most appropriate innovations for a company, and help companies in positioning themselves in the supply of chain innovations landscape. To this end, the three dimensions of supply chain innovations, namely the goals, supply chain attributes, and innovation attributes were identified and classified. The taxonomy allows for the efficient representation of critical supply chain innovations information, and serves the mentioned goals, which are fundamental to companies in a multitude of industries

Synchromodal logistics: An overview of critical success factors, enabling technologies, and open research issues

Abstract As supply chain management is becoming demand driven, logistics service providers need to use real-time information efficiently and integrate new technologies into their business. Synchromodal logistics has emerged recently to improve flexibility in supply chains, cooperation among stakeholders, and utilization of resources. We survey the existing scientific literature and real-life developments on synchromodality. We focus on the critical success factors of synchromodality and six categories of enabling technologies. We identify open research issues and propose the introduction of a new stakeholder, which takes on the role of orchestrator to coordinate and provide services through a technology-based platform

The Role of Logistics in the Market Orientation Process

The ability of an organization to provide customer value and generate profit depends on how well it understands and meets the true needs of its markets. The theory of market orientation captures the essence of discovering and responding to market needs. This dissertation reconceptualizes market orientation as a process, includes a more comprehensive set of behaviors of market orientation, and examines market orientation within the logistics function. Logisticians are particularly relevant to market orientation because of their increasing role in the organization as managers of supply chain relationships and as internal and external boundary spanners. The model was developed based on the literature in marketing, logistics, strategic management, organizational behavior, information processing, and knowledge management and data from in-depth interviews with logistics professionals. The nomological network consisted of five constructs: logistics market intelligence generation, logistics market intelligence dissemination, logistics market intelligence shared interpretation, logistics market intelligence responsiveness. Logistics performance was tested as a second-order construct in the model. The qualitative and empirical survey results reveal that shared interpretation is a mediator between market intelligence dissemination and responsiveness, the impact on performance is a result of market intelligence responsiveness, and the participation of logistics in MO positively impacts performance of the function and the organization as a whole. The absolute fit of the logistics market orientation model was good (RMSEA of .05, CFI of .95, χ2 = 1635.64, degrees of freedom of 931), and all five hypotheses tested were supported

Modelling of Determinants of Logistics 4.0 Adoption: Insights from Developing Countries

With the emergence of industry 4.0, several elements of the supply chain are transforming through the adoption of smart technologies such as blockchain, the internet of things and cyber physical systems. Logistics is considered one of the important elements of supply chain management and its digital transformation is crucial to the success of industry 4.0. In this circumstance, the existing logistics system needs to be upgraded with industry 4.0 technologies and emerge as logistics 4.0. However, the adoption/transformation of logistics 4.0 is dependent on several determinants that need to be explored. Therefore, this study has the prime objective of investigating the determinants of logistics 4.0 adoption in the context of a developing country, specifically, India. Initially, ten determinants of logistics 4.0 are established after a survey of the relevant literature and the input of industry experts. Further, a four-level structural model is developed among these determinants using the Interpretive Structural Modelling (ISM) approach. In addition, a fuzzy Matrix of Cross-Impact Multiplications Applied to Classification (MICMAC) analysis is also conducted for the categorization of these determinants as per their driving and dependence power. The findings show that top management supports, information technology infrastructure and financial investment are the most significant determinants towards logistics 4.0 adoption. This study facilitates the supply chain partners to focus on these high-level determinants for the effective adoption of logistics 4.0. Moreover, the findings lead to a more in-depth insight into the determinants that influence logistics 4.0 and their significance in logistics 4.0 adoption in emerging economiesinfo:eu-repo/semantics/publishedVersio

The use of information systems for logistics and supply chain management in South East Europe: Current status and future direction

This research aims to investigate the current status and future direction of the use of information systems for logistics and supply chain management (LSCM) in South East Europe. The objectives are threefold: (1) to identify major challenges and developments on the use of information systems for LSCM by enterprises, (2) to examine the actual level of satisfaction of current policy on LSCM, and (3) to reveal the actual need of enterprises in South East Europe on effective use of information systems for LSCM. Mixed methodology of literature review and questionnaire survey is adopted in this research. Data collected from 79 enterprises are analysed using descriptive analysis in SPSS. The findings suggest that enterprises in Albania, Bulgaria, Greece, Former Yugoslav Republic of Macedonia (FYROM), Romania, and Serbia and Montenegro, face similar challenges but all are in different stages of developments of LSCM. Their use of information systems explains their heavy focus on supply chain partnership and weakness in demand chain partnership. Major findings suggest that companies and governments alike in that region do not seem to be ready for playing a significant and demanding role in global supply chains. Current deficiencies, including limited abilities in building valuable forward relations, weak strategic planning and organisation, and infrastructural problems, are major obstacles for fast development in LSCM. At the same time though, traces of changing mentalities do exist, setting the ground for improved performance and ultimately for a better position in global business

Relationship Between Logistics Management and Public Sector Transparency in Peru

Purpose:  The objective of this research was to determine the relationship of significance between logistics management and public transparency in the public sector in Peru.   Theoretical framework: Current literature has reported good findings on both logistics management and transparency. However, there is still much to research and learn about GL and T because it is an ever-evolving development.   Design/methodology/approach: The methodology was quantitative, using deductive and analytical methods addressing non-experimental and correlational inferences. The instrument was a survey, through an applied questionnaire to 90 public sector workers.   Findings:  The results revealed that logistics management is deficient 43%, public transparency is deficient 57%, likewise, a p=0.000<0.01, Kendall's Tau-b (65%) and Spearman's Rho (67%) were reached.   Research, Practical & Social implications:  We suggest an agenda for future research and highlight the contributions made to logistics management and transparency.   Originality/value: the level of relationship between logistics management and public transparency is considerable positive and highly significant, which means that by complying with supply standards and stock control, the entity can provide quality information and thus the inspection office will be able to audit the transparency of the data

The Role and Importance of Logistics in Agri-Food Supply Chains: An Overview of Empirical Findings

This paper presents a survey of empirical literature on the role of logistics in the agri-food sector. The main objective of the paper is to systemise and comprehensively describe the knowledge and information derived from a large number of sources about the specifics of food supply chains in terms of logistics, with particular emphasis on agricultural enterprises. Moreover, taking into account the increasing environmental, social and ethical demands concerning Agri-Food Supply Chains, the article formulates challenges for logistics and future trends in its development. In conclusion, it proposes a definition of logistics for the agri-food sector

Performance measurement system for warehouse activities based on the SCOR® model : A research study in collaboration with Consafe Logistics AB, Sweden

Background: SCOR is a worldwide accepted and renowned process reference model that is developed and endorsed by the non-profit organization Supply Chain Council. It’s a cross-industry diagnostic tool for supply chain management. Consafe Logistics wanted to know if a performance measurement system for warehouse activities could be developed based on the SCOR model, and how it could be applied in their organization to offer enhanced customer satisfaction. Research issue: Previously, there’s been no standardized model used to define warehouse metrics at Consafe Logistics. If more relevant and standardized metrics would be used, Consafe Logistics could arguably be more efficient, give better support to customers and consequently generate greater customer satisfaction. The research should investigate if the SCOR framework can be applied to the company’s services within warehouse management. Furthermore, Consafe Logistics would like to gain a comprehensive picture of what metrics their customers currently measure in order to identify if metrics from the SCOR portfolio are applicable. Purpose: The purpose of this study was to develop a performance measurement system for warehouse activities; the system should be based on the Supply Chain Operations Reference (SCOR) model. Method: The method used in this study was a combination of many elements. First a situation analysis were performed to clarify the initially vague information and to be able to construct the research issue, the purpose and the delimitations for this study. Then a literature study was conducted to make sure enough knowledge was gained about warehouse management, performance measurements and the SCOR model. The empirical data was gathered in a combinatory approach between a qualitative pre-study and a quantitative and qualitative web-based survey. The main purpose of the prestudy was to gain relevant and in depth information from practitioners. The survey was a broader investigation and thereby gave more opportunity for generalization. The information was then analyzed and a performance measurement system for warehouse activities was developed. Conclusions: This study has reached its purpose to develop a performance measurement system based on SCOR. A process model that focuses on the operational tasks within warehousing was designed. If Consafe Logistics implements this warehouse process model, a relevant set of metrics can be achieved for each customer. In this way Consafe Logistics could save a lot of resources in trying to figure out what clients want to measure