Exploring clustering as a destination development strategy for rural communities: The case of La Brea, Trinidad

Laing, Christa; Lewis, Acolla

doi:10.1016/j.jdmm.2016.03.006

Cited by 18 publications

(10 citation statements)

References 19 publications

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“…Poor internet access and communication technology coupled with poor physical connecting infrastructure limit the amount of information available to support rural entrepreneurs' innovations (L opez and Ramos, 2015). The lack of capital infrastructure and financial institutions is also a possible barrier to innovation through networks (Laing and Lewis, 2017).…”

Section: Stakeholders and Their Rolesmentioning

confidence: 99%

“…4.3.2 Integrated business modelsan ecosystem of tourist services. Integrated RT is another business model discussed in the literature (Ilbery and Saxena, 2011;Laing and Lewis, 2017;Panyik et al, 2011). Integrated RT can be defined as the supply-side integration of tourism services (Bramwell and Lane, 2000).…”

Section: Manifestations Of Innovation Through Networkbusiness Model I...mentioning

confidence: 99%

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The innovation ecosystem in rural tourism and hospitality – a systematic review of innovation in rural tourism

Madanaguli

Kaur

Mazzoleni

et al. 2021

JKM

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Purpose Innovation in rural tourism and hospitality (RT) is a complex process that involves the exchange of knowledge and resources between many actors and the interrelationships between those actors in the business environment. The purpose of this paper is to provide structure to this “knowledge and resource ecosystem” through a thorough systematic review of the extant literature. Design/methodology/approach The current study uses a time-tested and reproducible systematic literature review process to identify and analyse 79 research papers that have discussed innovation in RT. Findings Through content analyses, this review identifies critical stakeholders in the innovation ecosystem, as well as the enabling and hindering roles these stakeholders play in innovation. The thematic analysis uncovers three key research foci: stakeholders and their roles, outcomes of innovation and business model innovation. The review also identifies types of innovation and critically analyses the bibliographical research profile. The authors summarise the findings in an RT innovation ecosystem model, which includes the various actors and their knowledge and resource sharing roles within the business environment. Originality/value This is one of the first systematic reviews to concentrate on RT innovation and, within that focus, on knowledge and resource networks in particular rather than on innovation in tourism in general, which was the focus of prior reviews. The authors encourage cross-pollination of ideas by introducing theories from the strategic management, innovation, knowledge management and business model innovation literature wherever appropriate. To consolidate and present the findings on the innovation process’s antecedents and outcomes, the authors present an ecosystem of innovation within the RT framework.

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Section: Stakeholders and Their Rolesmentioning

confidence: 99%

Section: Manifestations Of Innovation Through Networkbusiness Model I...mentioning

confidence: 99%

The innovation ecosystem in rural tourism and hospitality – a systematic review of innovation in rural tourism

Madanaguli

Kaur

Mazzoleni

et al. 2021

JKM

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“…The categorization of the discussions on social media lends actionable output that could improve the situation during a disease outbreak. Third, as an advancement to existing studies (e.g., Kirilenko et al, 2019;Laing & Lewis, 2017), our model can present the output in real time, which could be highly beneficial in providing timely aid to patients and taking proactive steps during a humanitarian crisis.…”

Section: Introductionmentioning

confidence: 99%

Lending ears to unheard voices: An empirical analysis of user‐generated content on social media

Gour¹,

Aggarwal²,

Kumar

2022

Production and Operations Management

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Governments and healthcare organizations increasingly pay attention to social media for handling a disease outbreak. The institutions and organizations need information support to gain insights into the situation and act accordingly. Currently, they primarily rely on ground-level data, collecting which is a long and cumbersome process. Social media data present immense opportunities to use ground data quickly and effectively. Governments and HOs can use these data in launching rapid and speedy remedial actions. Social media data contain rich content in the form of people's reactions, callsfor-help, and feedback. However, in healthcare operations, the research on social media for providing information support is limited. Our study attempts to fill the gap mentioned above by investigating the relationship between the activity on social media and the quantum of the outbreak and further using content analytics to construct a model for segregating tweets. We use the case example of the COVID-19 outbreak. The pandemic has advantages in contributing to the generalizability of results and facilitating the model's validation through data from multiple waves. The findings show that social media activity reflects the outbreak situation on the ground. In particular, we find that negative tweets posted by people during a crisis outbreak concur with the quantum of a disease outbreak. Further, we find a positive association between this relationship and increased information sharing through retweets. Building further on this insight, we propose a model using advanced analytical methods to reduce a large amount of unstructured data into four key categories-irrelevant posts, emotional outbursts, distress alarm, and relief measures. The supply-side stakeholders (such as policy makers and humanitarian organizations) could use this information on time and optimize resources and relief packages in the right direction proactively.

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“…Accordingly, the new cluster policy should become strategic, stimulating, proactive, flexible in relation to emerging trends in the agrarian economy. The disclosure of cluster potential will allow identifying additional opportunities that increase the investment attractiveness of rural areas for the agribusiness development of [8].…”

Section: Introductionmentioning

confidence: 99%

Developing a Strategy for Sustainable Rural Development in the COVID-19 Pandemic

Gusmanov¹,

Семин²,

Stovba³

et al. 2022

Pol. J. Environ. Stud.

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The present paper assesses the strategic significance of transition to the multifunctional vector of sustainable development for rural territorial entities. The study outlines perspective research areas to examine the phenomenon of sustainable rural development. The purpose of this study is to develop a methodological approach to the implementation of sustainable rural development strategy in the context of the COVID-19 pandemic. The goal of this study was achieved through the development and implementation of a comprehensive research project that combines the advantages of desk and field research. Designing a cluster scenario of sustainable rural development exploited a multidimensional statistical analysis, scenario forecasting and foresight methods. The study used a systematic approach focused on the main elements of rural areas, their exogenous and endogenous factors of functioning and interconnection, the current state, weaknesses and strengths in identifying strategic priorities for sustainable development. In turn, the system analysis relied on conducting explicit examination and evaluation, subsequent expertise, and working out a rural development strategy. Rural areas of the Non-Chernozem zone of the Republic of Bashkortostan were chosen to approve the developed methodological approach. The main findings of this study include: overview of the previous research on strategic planning of sustainable rural development; justification of the integrated application of presentday methods of economic research to take "mainstream" directions for functioning of rural territorial

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Exploring clustering as a destination development strategy for rural communities: The case of La Brea, Trinidad

Cited by 18 publications

References 19 publications

The innovation ecosystem in rural tourism and hospitality – a systematic review of innovation in rural tourism

The innovation ecosystem in rural tourism and hospitality – a systematic review of innovation in rural tourism

Lending ears to unheard voices: An empirical analysis of user‐generated content on social media

Developing a Strategy for Sustainable Rural Development in the COVID-19 Pandemic

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