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The Internet of Things (IoT) is expected to have a huge impact on businesses and, especially, the way we think about supply chain management (SCM). However, there is still a paucity of studies on the impact of IoT adoption on supply chains and on different aspects of the business in general. The purpose of this paper is to examine the perception of the academic community of the impact of the IoT adoption in organizational supply chains with a view to verify potential key benefits and challenges existent in the literature. The research presents the impact on an organization along with the impact across its entire supply chain.

Data were collected through the use of an online survey and 87 participants completed the survey. Participants were mainly from the academic community and were university scholars based in different countries located in six continents. Participants were authors, or co-authors, of academic papers published in the Decision Science Institute 2015 and 2016 annual conference proceedings, the 21st International Symposium of Sustainable Transport and Supply Chain Innovations, the Supply Chain Management: An International Journal 2016 issues, and the Operations and Supply Chain Management: An International Journal 2016 issues.

The authors were able to confirm the significance of some of the examined potential benefits to individual organizations and their entire supply chains. However, the study identified other potential benefits that were not seen as a direct impact of IoT adoption. Most of the examined potential benefits were found to contribute to a number of critical success factors for implementing successful SCM. The authors were also able to confirm that some of the examined potential challenges were still perceived as key hinders to IoT adoption but examined potential challenges were not seen as hurdles to IoT adoption.

To the best of the authors’ knowledge, this is the first study of its kind. Although some literature attempted to provide an overview about the IoT management, no study has specifically explored potential benefits and challenges related to the adoption of IoT in supply chains and ranked them based on their significance. The results can be beneficial to academic scholars interested in the researched topic, business professionals, organizations within different sectors, and any other party interested in understanding more about the impact of adopting IoT on SCM.

Presents an AHP (analytical hierarchy process) decision model for facility location selection from the view of organizations which contemplate locations of a new facility or a relocation of existing facilities. The AHP model provides a framework to assist managers in analysing various location factors, evaluating location site alternatives, and making final location selections. The primary principle of the AHP model is to match decision‐makers’ preferences with location site characteristics. The model requires that a number of potential sites have been proposed. Alternatives are then evaluated and compared under both quantitative and qualitative factors to allow managers to incorporate managerial experiences and judgement in the solution process. Uses an example problem to illustrate the solution process. Addresses managerial implications for future research.

This paper aims to examine the linkage of regional housing markets between Taiwan and China as increasing economic integration.

Two time-varying estimations of cointegration tests, Gregory and Hansen (1996) cointegration test with structural break and the recursive coefficients of cointegration (Hansen and Johansen, 1993) are applied to trace the possible dynamic linkage of cross-border regional housing prices between Taiwan and China.

First, the estimating results of the long-run relationships show that increasing housing prices in Beijing and Shanghai decrease Taipei’s house prices, while Shenzhen and Chengdu have converse effects. The technologies’ levels of Taiwanese industries surrounding the cities in China will affect the direction of the linkage of regional housing prices between the two economies. Second, in light of causalities of these five housing prices’ changes, Beijing and Shanghai lead Taipei and Shanghai leads Chengdu, which, in turn, leads Shenzhen. Finally, the results of time-varying cointegration tests show that some critical economic and political incidents changed the linkages of housing prices between Taipei and the four cities in China.

Although some empirical works examined the linkages between cross-border house prices in Europe and the USA, study has looked at the linkages of cross-border housing prices between Taiwan and China. This is an interesting topic insofar as house price integration has implications for wealth effects that feed into consumer expenditure in both Taiwan and China. The empirical evidence overall displays the existence of the integration of regional housing markets between Taiwan and China. For the longer-term future, increasing economic integration between China and other Asia countries will result in greater and more diversified cross-border housing markets and pools of investors.

This article has been withdrawn as it was published elsewhere and accidentally duplicated. The original article can be seen here: 10.1108/02635579310040915. When citing the article, please cite: Huei Lee, Dee M. Wellan, (1993), “Vendor Survey Plan: A Selection Strategy for JIT/TQM Suppliers”, Industrial Management & Data Systems, Vol. 93 Iss: 6, pp. 8 - 13.

Just‐in‐time (JIT) is thought by managers to be an important key to improving operations planning. JIT can be defined as a systematic approach which minimizes inventory by having supplies arrive at production and distribution points only when needed. Reports on a study to examine a supply performance evaluation strategy for implementing a just‐in‐time/total quality management (JIT/TQM) purchasing system for a major chemical company. The innovative strategy includes a vendor survey plan (VSP) with an evaluation system and a supplier self‐assessment. Results show the average quality performance of suppliers improved after implementing the new JIT/TQM strategies.

The growth of luxury tourism has been brought to a grinding halt due to the COVID-19 pandemic affecting most parts of the world since early 2020. Although the time for recovery of hospitality and tourism industries is still unclear, experience from the SARS outbreak in 2003 showed that the bounce back from consumers could be fast. The group of most affluent consumers, mostly known as HNWIs (high net worth individuals), will resume their original consumption behaviour much sooner than the rest of the market; these affluent consumers are the main target market of luxury hospitality and tourism industries.

This chapter presents different types of luxury tourism, luxury lifestyle, luxury tourists' decision-making and luxury hospitality products. The luxury food and beverage business in Singapore is presented to illustrate the commercial environment during the pandemic.

As the real‐time applications used in today's wireless network grow, some schemes are required to provide better quality of services. From the evaluation of referenced scheduling scheme provided in IEEE 802.11e standard document, we know that it does not perform well on traffic which is not strictly constant‐bit‐rate (CBR). Therefore, it is necessary to design a more flexible scheme to dynamically adjust the estimation of transmission opportunity allocated to QoS‐enhanced stations with different characteristics of applications. This paper aims to present a data rate estimation algorithm for the scheduler of the IEEE 802.11e hybrid coordination function controlled channel access.

The performance of the algorithm is evaluated through Network Simulator ‐2.

With the proposed algorithm, the QoS access point can provide guaranteed parameters such as delay and throughput for both the real‐time variable‐bit‐rate and CBR traffics.

The paper presents a data rate estimation algorithm for IEEE 802‐11e HCCA scheduler.

Attempts to illustrate how an internal climate survey can be used as a measurement tool to assess the level of quality in the service sector. Internal climate should ideally be determined by examining a cross‐section of an organization. In an empirical study of two public mental health and mental retardation (MHMR) agencies, middle managers were initially believed to be more resistant to the introduction of a quality improvement process than line workers. Two hypotheses regarding internal climate among different levels of employees were tested. Results from this study provided insight for top managers of both public agencies to facilitate their total quality management processes.

In order to develop a feasible and efficient method to acquire the long‐run availability of a parallel system with distribution‐free up and down times, the purpose of this paper is to perform the simulation comparisons on the interval estimations of system availability using four bootstrapping methods.

By using four bootstrap methods; standard bootstrap (SB) confidence interval, percentile bootstrap (PB) confidence interval, bias‐corrected percentile bootstrap (BCPB) confidence interval, and bias‐corrected and accelerated (BCa) confidence interval. A numerical simulation study is carried out in order to demonstrate performance of these proposed bootstrap confidence intervals. Especially, we investigate the accuracy of the four bootstrap confidence intervals by calculating the coverage percentage, the average length, and the relative coverage of confidence intervals.

Among the four bootstrap confidence intervals, the PB method has the largest relative coverage in most situations. That is, the PB method is the best one made by practitioners who want to obtain an efficient interval estimation of availability.

It is the first time that the relative coverage is introduced to evaluate the performance of estimation method, which is more efficient than the existing measures.