Putting forth marketing competencies strength with collaborating partners in the hotel industry

Ku, Edward C.S.

doi:10.1007/s11628-013-0209-7

Cited by 5 publications

(7 citation statements)

References 59 publications

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“…Finally, innovation performance was measured as a dependent variable. Amy and Poston (2013), Ku (2013), McEvily and Chakravarthy (2002), Schultze and Stabell (2004), Levy (2009), Hine et al (2010) Absorptive capacity…”

Section: Resultsmentioning

confidence: 99%

“…They may get to market more quickly, show faster product adoption, and lower product development costs (Amy and Poston 2013). Hence SNSs positively affect innovation performance since knowledge acquired from users can be used to enhance process or to generate new products and services (Ku 2013). In this sense, SNSs is part of enterprises' eco-system where a wide flow of knowledge encourages the development of new innovative ideas (McEvily and Chakravarthy 2002;Schultze and Stabell 2004;Levy 2009;Hine et al 2010).…”

Section: Discussionmentioning

confidence: 99%

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The effect of social networking sites and absorptive capacity on SMES’ innovation performance

2016

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The combination of knowledge and innovation has become a cornerstone among knowledge and labour intensive enterprises. A growing number of enterprises are defined as knowledge intensive entrepreneurship ventures that have been widely studied in relation to their ecosystem. However only few research have addressed this phenomenon to enterprises digital ecosystem by adopting mainly a qualitatively approach. We point out that the relevance of the digital ecosystem focusing on the role of social networking sites in relationship to innovation and knowledge. The use of social networking sites can provide a wealth of information about individuals and their networks, which can be utilised for various business purposes. It enables enterprises to create online communities and share user-created content. Within this context, enterprises actively interact with external actors such as customers, public institutions, and other businesses to acquire and absorb external knowledge, and then generate innovation. To gain insights from the global economy, 215 small to medium enterprises from different sets of global enterprises, both knowledgeintensive (e.g. management consulting, marketing and advertising, ICT and related services, legal and technical services) and labour-intensive (such as high tech and electronics, food and beverage, and consumer durables), were analysed. Via the Partial Least Square-Path Modelling the relationships between social networking sites, absorptive capacity, and innovation performance were measured. Therefore, recommendations are proffered as to what small-medium enterprises should do in order to enhance their innovativeness. The research ends with conclusions and implications to both scholars and practitioners.

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Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

The effect of social networking sites and absorptive capacity on SMES’ innovation performance

2016

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“…A first driver is represented by HRM practices , analysing the effect generated by different organizational structures, alternative forms of control or styles able to reduce burnout and to increase commitment and corporate entrepreneurship (Campopiano et al , 2016). The development of competencies being the second driver; some articles explore some relevant functions, such as marketing or key stakeholders, including customers, employees or partners in business (Ku, 2014). The last driver is represented by technology , exploring mainly the acceptance of it by clients and employees (Kaushik et al , 2015).…”

Section: Resultsmentioning

confidence: 99%

Hotel performance and research streams: a network cluster analysis

Sainaghi

Baggio

Phillips

et al. 2018

IJCHM

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Purpose This paper aims to provide a review of hotel performance within the hospitality and tourism research domain. The authors use network analysis to examine two research questions. The first relates to ascertaining general trends within the hotel performance literature, and the second focuses on identifying the salient streams and sub-topics. Design/methodology/approach Articles were selected according to three criteria: keywords, journals and year of publication. The analysis embraces 20 years (1996-2015). These choices assure a wide coverage of the literature. Using these three criteria, the sample includes 1,155 papers. For the analysis, the authors created a network of papers designated as nodes, and the citations among the papers as links. A network approach recognizes the internal structure of the network by identifying groups of nodes (papers) that are more densely connected between themselves than to other nodes within the network (modules, clusters or communities). Findings The authors found 761 papers that were “connected” studies within the network. By contrast, 34 per cent of the sample (394 papers) consists of “unconnected” studies. Excluding outliers, the net sample was 734 articles. The authors identify 14 clusters, which they break down into several sub-topics. The authors conclude by providing some conclusions regarding trends and future research directions. With regards to salient topics, cross-citation and network analysis provide a detailed picture of where the literature comes from and where it currently stands. Conclusions are articulated at the theoretical and empirical levels. Originality/value Compared with previous hotel performance reviews, the approach followed by this study enables the discovery of an analytical research map, which is able to identify both clusters and sub-topics populating each segment. Researchers are able to position their work and identify issues that are in growth and decline.

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“…We hold that online social networks have a positive impact on innovation capacity, since knowledge obtained from the customers can be used to improve processes or to create new products (Lykova and Atras, 2013;Ku, 2013). An organization cannot create knowledge without their customers (McEvily and Chakravarthy, 2002;Schultze and Stabell, 2004;Levy, 2009;Hine et al, 2010).…”

Section: Online Social Networkmentioning

confidence: 99%

Online social networks as an enabler of innovation in organizations

Palacios‐Marqués

Merigó

Soto‐Acosta

2015

Management Decision

126

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Purpose – The purpose of this paper is to study the effect of online social networks on firm performance and how this technology can help to create value. The authors approach the problem from the Resource-Based View in order to analyze if online social networks can be considered source of competitive advantage and how it can enhance or complement essential marketing competences. Design/methodology/approach – The data were obtained from a survey based on the Spanish hospitality firms. This sector was chosen because Web 2.0 is becoming an important marketing channel in the tourism industry, and especially in hospitality firms. In addition, Spain is the one of the largest tourist destination in the world and has a strong presence of social media and Web 2.0 use by the population and hospitality enterprises. Between February and June 2012, the questionnaire was sent to all top managers of four-star and five-star Spanish hospitality firms. The authors received 197 questionnaires, but four of them were eliminated due to errors or because they were received too late. Findings – Results show that there is a statistically significant positive relationship between online social networks and innovation capacity and that the relationship between online social networks and firm performance is fully mediated by innovation capacity. In turn, the authors find a statistically significant positive relationship between innovation capacity and performance in the hotel industry. Originality/value – The authors discuss the importance of online social networks in the development of innovation competences through business intelligence and knowledge management that result in higher performance. The authors also consider the ways in which online social networks enhance knowledge management.

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Putting forth marketing competencies strength with collaborating partners in the hotel industry

Cited by 5 publications

References 59 publications

The effect of social networking sites and absorptive capacity on SMES’ innovation performance

The effect of social networking sites and absorptive capacity on SMES’ innovation performance

Hotel performance and research streams: a network cluster analysis

Online social networks as an enabler of innovation in organizations

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