Low Carbon Supplier Selection in the Hotel Industry

Hsu, Chia‐Wei; Kuo, Tsai‐Chi; Shyu, Guey Shin; Chen, Pi-Shen

doi:10.3390/su6052658

Cited by 32 publications

(20 citation statements)

References 69 publications

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“…In other words, by equating sustainable thinking with innovative approaches, organizations can in turn acquire top-line and bottom-line benefits for their social responsibility and innovation efforts [3,6,15,16]. Accordingly, through the concept of sustainable innovation, hoteliers and managers can promote sustainable services while striking a balance between economic, environmental and societal concerns [2,[17][18][19][20].…”

Section: Introductionmentioning

confidence: 99%

The Role of Sustainable Service Innovation in Crafting the Vision of the Hospitality Industry

et al. 2016

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Abstract:The purpose of this study was to examine the key characteristics of sustainable service innovation in the hospitality industry. We conducted a content analysis based on the interview records for 17 experts (including three academic scholars, three government officers and 11 top-level managers) with an average of 20 years of experience in the hospitality management domain in Taiwan. The analytical results conform to Amabile's (1988) componential theory of creativity and innovation and show that 11 characteristics are major indicators of sustainable service innovation in the hotel management field. These include the following characteristics: market position, customer satisfaction, service orientation, environmental thinking, employee involvement, incentive mechanism, human resource development, environmental services, cultural resource management, government policy and school education. Accordingly, using the integrated theory of sustainable service innovation and professional opinions from experts, we provide theoretical and practical implications for current and future trends on sustainability and innovation in the hospitality industry.

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Section: Introductionmentioning

confidence: 99%

The Role of Sustainable Service Innovation in Crafting the Vision of the Hospitality Industry

et al. 2016

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“…Therefore, Jabbour and Jabbour (2014) suggested training subjects on three categories: low-carbon products, low-carbon production, and low-carbon logistics. Although training subjects of low-carbon operations and production management have been suggested by Jabbour and Jabbour (2014), we also found such perspective (Hsu, Kuo, Shyu, & Chen, 2014). There are several useful criteria associated with carbon management in selecting suppliers in a hotel supply chain.…”

Section: The Low-carbon Operations and Service Supply Chain Into Ecotmentioning

confidence: 63%

“…Related tasks above are connected together with perspectives of customer and employee. This means that carbon management starts from supplier selection (Hsu et al, 2014), and then through hotel supply chain to the time when employees deliver services to customers, thus satisfaction is shaped by different kinds of services delivery. This procedure is a long process across different functions of operational management such as marketing, production, inventory, human resource, R&D, and finance.…”

Section: The Low-carbon Operations and Service Supply Chain Into Ecotmentioning

confidence: 99%

The Low-Carbon Operations in Ecotourism Service Supply Chain Management

Liu¹,

Lo²

2016

JTHM

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The ecotourism has quickly developed as the fastest growing industry in recent years. Ecotourism is one kind of tourism industry that also consists of complex service providers like travel agents, hotels, transportations (such as airplane, bus, and ship) restaurants, and destinations, connecting with operational diversity; therefore, those of supported services are linked with a supply chain together, and its management is called ecotourism service supply chain management (ESSCM). Moreover, a low-carbon operation management has also become an important challenge to ecotourism nowadays. Based on the problems of service and low-carbon operation management made together above, exploring an effective solution into ecotourism is worthy. Using ESSCM as a strategy for solving industrial problems of service and low-carbon operations management in ecotourism is explored in this paper. The contributions here include clearly explanations of what ESSCM is and how ESSCM is used with low-carbon operations as a sustainability strategy, and finally a practical case study is also examined in the end.

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“…The flowchart of the decision-making framework is illustrated in Figure 1. This hybrid MCDM model have been used to resolve various selection problems such as brand evaluation (Wang & Tzeng, 2012), smartphone technology acceptance (Huang & Kao, 2015), materials for engineering designs (Liu, You, Zhen, & Fan, 2014), the service selection in three dimensional printing industry (Liao, Wu, Huang, Kao, & Lee, 2014), low carbon suppliers (C. W. Hsu, Kuo, Shyu, & Chen, 2014), and RFID technology evaluation and selection (Lu, Lin, & Tzeng, 2013). Natural Disaster (a1) (Snedaker, 2013) Appropriate DR site should minimize influences by natural disasters.…”

Section: Methodsmentioning

confidence: 99%

Disaster Recovery Site Evaluations and Selections for Information Systems of Academic Big Data

Yang

Huang²,

Kao

et al. 2017

EURASIA J MATH SCI T

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The most dramatic factor shaping the future of higher education is Big Data and analytics. In the Big Data era, the explosive growth of massive data manipulations imposes a heavy burden on computation, storage, and communication in data centers. Increasing uncertainties in information system availability have become a daily serious problem. An appropriate evaluation and selection of the right information system disaster recovery (DR) site can ensure business continuity and investment optimization. However, most academic institutes always neglect the importance of DR. Not to mention the DR sites in the era of Big Data. Existing research results do not evaluate or select DR sites in general or those for academic Big Data applications in particular. Therefore, this research aims to establish an analytic framework for evaluating, selecting DR sites for academic Big Data. The proposed analytic framework is consisting of the Decision-Making Trial and Evaluation Laboratory (DEMATEL), DEMATEL-based network process (DNP) and VIšekriterijumsko KOmpromisno Rangiranje (VIKOR) methods. An empirical study based on a real Big Data DR application of an Asian high-performance computer center's evaluation and selection of DR sites for academic Big Data is used to illustrate the feasibility of the proposed framework. The analytic results can serve as a foundation for information technology administrators' strategies to reduce the performance gaps of a DR site for Big Data manipulations in general, and academic Big Data manipulations in special.

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Low Carbon Supplier Selection in the Hotel Industry

Cited by 32 publications

References 69 publications

The Role of Sustainable Service Innovation in Crafting the Vision of the Hospitality Industry

The Role of Sustainable Service Innovation in Crafting the Vision of the Hospitality Industry

The Low-Carbon Operations in Ecotourism Service Supply Chain Management

Disaster Recovery Site Evaluations and Selections for Information Systems of Academic Big Data

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