The use of the Delphi method with non-parametric analysis for identifying sustainability criteria and indicators in evaluating ecotourism management: the case of Penang National Park (Malaysia)

Fallah, Marzieh; Ocampo, Lanndon

doi:10.1007/s10669-020-09790-z

Cited by 28 publications

(23 citation statements)

References 106 publications

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“…In this method, researchers create a theoretical consensus based on expert groups, where data and information are unavailable and expert opinions differ [65][66][67]. The Delphi technique requires the careful selection of experts, as it reflects the quality of the decision made by the group [68,69]. Experts must be knowledgeable and aware of the issue or problem under consideration [70,71].…”

Section: The Delphi Methodsmentioning

confidence: 99%

Estimation of Ecotourism Carrying Capacity for Sustainable Development of Protected Areas in Iran

Sobhani

Esmaeilzadeh

Sadeghi

et al. 2022

IJERPH

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Estimating the ecotourism carrying capacity (ETCC) in protected areas (PAs) is essential for minimizing the negative impacts of ecotourism and sustainable environmental management. PAs are one of the prominent ecotourism locations and many of these areas have been created to protect biodiversity and improve human wellbeing. This study has identified and prioritized negative impacts of ecotourism in Lar national park, the Jajrud protected area with the sustainable use of natural resources, and Tangeh Vashi national natural monument. For this purpose, physical carrying capacity (PCC), real carrying capacity (RCC), and effective carrying capacity (ECC) were estimated using the ETCC model. The results indicated that due to these areas’ ecological sensitivity, the most negative impacts of ecotourism are related to the environmental-physical dimensions. In contrast, the lowest impacts have been observed in the economic-institutional dimensions. Moreover, the results revealed that the highest PCC is related to Lar national park, and the lowest PCC is associated with Tangeh Vashi natural monument. There are more tourists in the Jajrud protected area with the sustainable use of natural resources than other areas in RCC and ECC due to low levels of restrictions and legal instructions. In contrast, in Lar national park and Tangeh Vashi natural monument, due to the short duration of ecotourism in these areas (from June to October), high level of restrictions, and ecological sensitivity, the number of tourists is less than the RCC and ECC. As these areas have a limited ability to attract visitors and ecotourism, the protection of these areas requires the implementation of sustainable management to control the negative impacts of ecotourism and estimate the number of visitors.

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Section: The Delphi Methodsmentioning

confidence: 99%

Estimation of Ecotourism Carrying Capacity for Sustainable Development of Protected Areas in Iran

Sobhani

Esmaeilzadeh

Sadeghi

et al. 2022

IJERPH

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“…Detail of the study Wong et al (2020) Understand hotel corporate social responsibility performance scale Khawagi et al (2020) Identify the safety indicators related to mental health disorders and medications € Ozt€ urk et al (2020) Determine the service management standard in nursing Fallah and Ocampo (2020) Identify the sustainability criteria and indicators in evaluating ecotourism management Gossler et al (2019) Determine the best practices for outsourcing logistics in disaster relief Swank and Houseknecht (2019) Analyze the teaching competencies in counselor education Table A1. Overview of published literature on e-Delphi…”

Section: Appendixmentioning

confidence: 99%

Enhancing training effectiveness for organizations through blockchain-enabled training effectiveness measurement (BETEM)

Jain

Sharma

Shrivastava

2021

JOCM

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PurposeDue to technology advancement or transparency in system, there is a constant inflow and outflow of technology in the business for transparency and efficiency. To seize a competitive advantage, companies have emerged new technological solutions to respond to the change in the organization environment. There is a surge in the requirement of learning opportunities and effective training programs in the organization. The current study has been an effort to understand the potential of blockchain technology that can create better training evaluation.Design/methodology/approachThe electronic-Delphi (e-Delphi) method has been conducted by recording the final consensus and to find a balance for implementation of blockchain technology and measuring training effectiveness. The current research is one of its new types where blockchain-enabled training effectiveness measurement (BETEM) model has been formulated using a qualitative approach.FindingsThe study has considered human resource (HR) professionals as the experts and based on their responses, the formulation of theoretical network model has been structured using e-Delphi–BETEM (e-DLH–BETEM) approach. By critically examining the experts’ responses and comments, the study formulated the four major themes and 11 subthemes for the smooth functioning of the BETEM for an organization.Research limitations/implicationsThe research aims to aid innovations in BETEMs model for training evaluation. The model will contribute incrementally toward the complete transformation of the training development programs of employees. The goal of BETEMs is to ensure that organizations, specifically HR personals can prepare themselves to have competitive advantage by using blockchain technology.Originality/valueThe application of blockchain technology in measuring the training effectiveness is an addition to existing literature as majority of existing studies have studied the use of technology for measuring training effectiveness.

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“…Some guidance exists, including Linstone and Turoff (1975)'s suggestion that the optimum range for a Delphi study is 7-20 respondents, and Reid (1988), who identified that Delphi panel sizes have ranged from 10 to 1685. The sample size used for this study (44, with a 56% response rate) is within the range of previous Delphi studies using academic experts within the sport management discipline, which had sample sizes between 17 and 31 (Anderson et al 2019;Mallen et al 2010a), and management studies with samples between 40 and 90 and response rates between 10% and -62% (Czinkota & Ronkainen, 1997;Fallah & Ocampo, 2021;MacCarthy & Atthirawong, 2003;White, 2017).…”

Section: Study Samplementioning

confidence: 99%

Finding consensus on indicators for organizational climate capacity in sport

Orr

2021

Managing Sport and Leisure

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The use of the Delphi method with non-parametric analysis for identifying sustainability criteria and indicators in evaluating ecotourism management: the case of Penang National Park (Malaysia)

Cited by 28 publications

References 106 publications

Estimation of Ecotourism Carrying Capacity for Sustainable Development of Protected Areas in Iran

Estimation of Ecotourism Carrying Capacity for Sustainable Development of Protected Areas in Iran

Enhancing training effectiveness for organizations through blockchain-enabled training effectiveness measurement (BETEM)

Finding consensus on indicators for organizational climate capacity in sport

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