Search results

This study aims to develop the alleviating bullwhip effects framework (ABEF) replenishment rules, and bullwhip, inventory fluctuations and customer service fulfilment rates were examined. In addition, automated smoothing and replenishment rules can alleviate supply chain bullwhip effects. This study aims to understand the current artificial intelligence (AI) implementation practice in alleviating bullwhip effects in supply chain management. This study aimed to develop a system for writing reviews using a systematic approach.

The methodology for the present study consists of three parts: Part 1 deals with the systematic review process. In Part 2, the study applies social network analysis (SNA) to the fourth phase of the systematic review process. In Part 3, the author discusses developing research clusters to analyse the research state more granularly. Systematic literature reviews synthesize scientific evidence through repeatable, transparent and rigorous procedures. By using this approach, you can better interpret and understand the data. The author used two databases (EBSCO and World of Science) for unbiased analysis. In addition, systematic reviews follow preferred reporting items for systematic reviews and meta-analyses.

The study uses UCINET6 software to analyse the data. The study found that specific topics received high centrality (more attention) from scholars when it came to the study topic. Contrary to this, others experienced low centrality scores when using NETDRAW visualization graphs and dynamic capability clusters. Comprehensive analyses are used for the study’s comparison of clusters.

This study used a journal publication as the only source of information. Peer-reviewed journal papers were eliminated for their lack of rigorousness in evaluating the state of practice. This paper discusses the bullwhip effect of digital technology on supply chain management. Considering the increasing use of “AI” in their publications, other publications dealing with sensor integration could also have been excluded. To discuss the top five and bottom five topics, the author used magazines and tables.

The study explores the practical implications of smoothing the bullwhip effect through AI systems, collaboration, leadership and digital skills. Artificial intelligence is rapidly becoming a preferred tool in the supply chain, so management must understand the opportunities and challenges associated with its implementation. Furthermore, managers should consider how AI can influence supply chain collaboration concerning trust and forecasting to smooth the bullwhip effect.

Digital leadership and addressing the digital skills gap are also essential for the success of AI systems. According to the framework, it is necessary to balance AI performance and accountability. As a result of the framework and structured management approach, the author can examine the implications of AI along the supply chain.

The study uses a systematic literature review based on SNA to analyse how AI can alleviate the bullwhip effects of supply chain disruption and identify the focused and the most important AI topics related to the bullwhip phenomena. SNA uses qualitative and quantitative methodologies to identify research trends, strengths, gaps and future directions for research. Salient topics for reviewing papers were identified. Centrality metrics were used to analyse the contemporary topic’s importance, including degree, betweenness and eigenvector centrality. ABEF is presented in the study.

Organizations, particularly in the hospitality industry, are infinitely variable and because of this, there is not only a tendency to view the industry as a number of discrete units but also to consider catering as a separate function to hotel keeping. However, this stance is considered to be flawed and if a more accurate picture is to be gained, a holistic approach is needed and the industry should be considered as a whole. Argues that many of the techniques in operations management normally associated with manufacturing industries can be just as easily applied to the hospitality industry. Considers a number of these, for example, capacity, forecasting, managing demand and scheduling.

There are about 60,000 public houses in the UK that operate in a diverse retail sector from the wholly independent small business to the corporate brewery managed public house. The publican in all these establishments have the common aim of being able to service the customer who demands supply from a range of available beverages. Each publican has access to a variety of formal and informal mechanisms to ensure that their stocking policies relate to current demand requirements. The relationships of the publican with their product suppliers are embedded in the objective of supply chain management to minimise costs associated with their operation whilst maximising service levels to the customer. This paper seeks to develop the understanding of how publicans develop relationships with their suppliers and their stock holding policy considerations, using a case study approach.

This paper aims to address the extant and arguable role of enterprise systems (ES) in relation to management accounting practices (MAPs) through an inclusion relative neglect account of business process management (BPM). This is also extended to draw out an analytical framework to advance our understanding of how BPM mediate ES-MAPs interplay.

A cross-sectional case study was adopted as a research strategy with which to collect data about the ES-BPM-MAPs interplay as a unit of analysis. The latter, in the first stage, was examined across (89) mini-case studies operating in the UK context through reports and documentations collected from cases’ websites, vendors and consultants of information systems. Drawn insights from cross-sectional analysis and contributions made by prior studies are blended together to inform the second stage that outlines an analytical framework for ES-BPM-MAPs interplay.

Different ES are mobilised to address different orientations of BPMs and being used for different managerial functions and purposes. Different patterns of ES-BPM-MAPs interplay are identified across (89) UK-case studies and the BPM is a fulcrum understanding. These patterns are centred around three key BPM including customer, logistics and control processes and all oriented by a continuum of an organisation intention focus on control, understanding and strategising. Both processes and orientations explain ES development and MAPs evolution processes. Standardisation, integration and intelligence are key characteristics sought through ES mobilisations. By complementary, information provision, analytics and simulation are three sophisticated ways of using MA information facilitated by ES characteristics.

Dynamic processes of MAPs change over time and are beyond the reach of this study. Such approach requires full access to case studies. BPM is fulcrum understanding of MAPs change and/or stability in relation to ES implementation including other components.

Findings and analytical framework could be used as a base for establishing the best approach in adopting ES to fully exploit the potential of future ES applications as well as to avoid organisations pitfalls of implementations. Organisations are advised to understand their existing business processes, characteristics of MA information would be achieved first upon which decision of ES components selection and implementation could be outlined.

The indirect interplay between ES and MAPs through business processes is rarely examined. By the inclusion of BPM and using cross-sectional case studies, this research contributes to the existing shortcomings of ES-MAPs interplay by broadening the picture and proposing an analytical framework. The latter advances our understanding by focusing on attributes of ES-BPM-MAPs upon which informal changes in-the use of MAPs are recognised.

This paper describes the use of a set of manufacturing planning and control (MPC) system activities for assessing the functionality suitable in individual companies. Field studies were carried out in medium‐sized batch manufacturing companies and the set of activities was used to investigate the functionality and level of computer support suitable in each case. The field studies verified the set of activities and the findings were used to refine the activities and identify additional activities to be included in the set. The field studies were also used to develop detailed reasons why each activity was considered relevant or not relevant. From the field studies it was possible to conclude that the overall type of company (i.e. make‐to‐order (MTO), make‐to‐stock (MTS), etc.) was not in itself sufficient to predict which activity would be relevant to a particular company. It is proposed that there are numerous reasons why an activity is relevant or not relevant and that it is the detailed characteristics of the individual company which are important in reaching this decision.

To provide insight into the barriers to the application of best practices in hospitality and tourism small‐ and medium‐sized enterprises (SMEs) in the UK.

In‐depth interviews were conducted with owners, managers and staff in 89 award‐winning business in the hospitality and tourism industry. Eight areas of best practice that arose from an initial pilot study were investigated in the sample population of SME's. With a holistic and multiple‐cases analysis approach, the case studies are assembled to form a portrait of hospitality and tourism in the UK.

Results suggest a model identifying seven key capabilities that underlie the adoption of best practices and six barriers to their implementation. The seven key capabilities for hospitality and tourism SMEs are customer focused goals, planning and control, partnering and networking, internal and external communication, achieving consistent standards, strategic workforce management, cash flow and performance management. The six barriers to implementing best practices were identified as changing demand, limited resources, lack of skilled labour, lifestyle, lack of competitive benchmarking and location, all of which could create turbulence in the operational environment.

As hospitality and tourism SMEs appear to inherit characteristics derived both from the small and medium size of the operation and the nature of the industry sector, the implications of the model and the associated barriers may create obstacles to the benefits of competitive benchmarking and lead to a loss of the pride and passion and impede the growth of their business.

Considerable diversity is demonstrated amongst SMEs in relation to their use of strategies while confirming some of the difficulties and challenges inherent to the industry and endemic to smaller organisations.

This study explores the impact of intellectual capital on the adoption of supply chain analysis by manufacturing companies. The authors also examine the potential role of supply chain analytics in supply chain innovation and agility.

Data were gathered from 268 managers and directors of Jordanian companies. The hypotheses were tested using the Smart PLS software.

The results reveal that human, structural and social capital significantly impact supply chain analytics. Moreover, the findings show that supply chain analytics significantly affect supply chain innovation and agility. In other words, cultivating intellectual capital is crucial for utilizing supply chain analysis to enhance performance in terms of innovation and agility.

This study adds to the literature on the determinants of the adoption of supply chain analytics and its function in establishing the dynamic capabilities of businesses, including supply chain innovation and agility.

Addresses the agenda for learning, development and research by presenting an organizational framework for action learning, supported by internet‐based resources and tutored sessions in the workplace. Outlines a themed approach, developed in response to corporate needs and aspirations, which is derived from a generic curriculum and augmented to address industry issues and corporate specialisms.

Provides an overview of developments in hospitality operations management as reflected by articles published in: International Journal of Contemporary Hospitality Management, International Journal of Hospitality Management, International Journal of Service Industry Management and Service Industries Journal during 1995 (business performance, customers and service improvement, operations and the curriculum, strategy and development) and during the six‐year period 1989‐1994 (structural relationships in hospitality and tourism, operations and business development, strategy and systems development, human resource development and quality improvements).

The case focuses on positioning a new brand, the Tata Nano. The car has been widely publicized as the world's cheapest car at Rs.1 lakh. Students must consider the gap between the ultimate target, the huge emerging middle class of Indian consumers, and the limited capacity and distribution available in choosing a target. They also must select between alternative competitive frames and the various points of difference they highlight. The case unfolds in two stages. The first decision point is in 2009, at the launch of the time of the product launch. The second decision point is 18 months later, after production capacity has increased and some product safety issues have arisen.

The primary goal of the case is to illustrate the choices made in developing a strong brand positioning and the interrelationship between these choices. Students select a target and an appropriate competitive frame of reference and point of difference for that target and summarize these elements in a positioning statement. The case also highlights importance of making promotion and distribution decisions that are consistent with the positioning.