Zoekresultaten

How employees experience digital transformation: a dynamic and multi-layered sensemaking perspective.

The capacity to deal with digital transformation is a valuable asset for established organizations, and employees play a crucial role in this process. This study contributes to the understanding of employees’ sensemaking of digital transformation in the tour operating industry. Using prior digital transformation research, construal-level theory (CLT), and dynamic change perspectives, our scholarly work focuses on the complexities of organizational change in a digital transformation context. Although employees generally support digital transformation, our findings show that their perceptions change over time across a range of specific challenges experienced during the employee change journey. Our findings stress the importance of adopting a social exchange lens in digital transformation knowledge as this represents deep structure change that might cause well-designed transformation processes to fail. Implications for hospitality and tourism management are discussed.

Automatic Measurement of Corporate Reputation for Retail Companies from Online Public Data on the Web

Retail industry consists of the establishment of selling consumer goods (i.e. technology, pharmaceuticals, food and beverages, apparels and accessories, home improvement etc.) and services (i.e. specialty and movies) to customers through multiple channels of distribution including both the traditional brickand-mortar and online retailing. Managing corporate reputation of retail companies is crucial as it has many advantages, for instance, it has been proven to impact generated revenues (Wang et al., 2016). But, in order to be able to manage corporate reputation, one has to be able to measure it, or, nowadays even better, listen to relevant social signals that are out there on the public web. One of the most extensive and widely used frameworks for measuring corporate reputation is through conducting elaborated surveys with respective stakeholders (Fombrun et al., 2015). This approach is valuable but deemed to be laborious and resource-heavy and will not allow to generate automatic alerts and quick and live insights that are extremely needed in this era of internet. For these purposes a social listening approach is needed that can be tailored to online data such as consumer reviews as the main data source. Online review datasets are a form of electronic Word-of-Mouth (WOM) that, when a data source is picked that is relevant to retail, commonly contain relevant information about customers’ perceptions regarding products (Pookulangara, 2011) and that are massively available. The algorithm that we have built in our application provides retailers with reputation scores for all variables that are deemed to be relevant to retail in the model of Fombrun et al. (2015). Examples of such variables for products and services are high quality, good value, stands behind, and meets customer needs. We propose a new set of subvariables with which these variables can be operationalized for retail in particular. Scores are being calculated using proportions of positive opinion pairs such as <fast, delivery> or <rude, staff> that have been designed per variable. With these important insights extracted, companies can act accordingly and proceed to improve their corporate reputation. It is important to emphasize that, once the design is complete and implemented, all processing can be performed completely automatic and unsupervised. The application makes use of a state of the art aspect-based sentiment analysis (ABSA) framework because of ABSA’s ability to generate sentiment scores for all relevant variables and aspects. Since most online data is in open form and we deliberately want to avoid labelling any data by human experts, the unsupervised aspectator algorithm has been picked. It employs a lexicon to calculate sentiment scores and uses syntactic dependency paths to discover candidate aspects (Bancken et al., 2014). We have applied our approach to a large number of online review datasets that we sampled from a list of 50 top global retailers according to National Retail Federation (2020), including both offline and online operation, and that we scraped from trustpilot, a public website that is well-known to retailers. The algorithm has carefully been evaluated by manually annotating a randomly sampled subset of the datasets for validation purposes by two independent annotators. The Kappa’s score on this subset was 80%.

A study of innovation in the making CARMACAL and the Dutch outbound travel industry

How to reduce carbon emissions and contribute to climate change mitigation? For years the carbon-intensive travel industry has been struggling with this question. Research has addressed the relation between climate change and tourism (e.g., Gössling et al 2015; Becken, 2013; Gössling, 2010; Gössling et al 2010; Bows et al, 2009). Their work produced models and measurement methods, and recommended mitigation policies and actions (Scott, 2011; Dwyer et al, 2010; Gössling et al 2010; McKercher, 2010). Major industry players have since adopted carbon reduction measures in their CSR policies (Thomas Cook group, 2015; TUI Group, 2015). However, the bulk of the travel industry consists of SMEs that typically have limited resources available for CSR. CARMACAL may offer a solution for the sector at large. CARMACAL is a user-friendly application that enables tour operators to accurately measure the complete carbon footprint of their tour packages and integrate carbon management in their business (CSTT, 2016a). The industry acknowledged its relevance: in April 2016 CARMACAL won the WTTC Tourism for Tomorrow Innovation Award

Corporate social responsibility against child sex tourism: a study about the Code1 and tour operators

The productive role of innovation in a large tourism organisation (TUI).

This paper studies the productive role of innovation in organisations. Using the post-structuralist insight that innovation is an open concept that can become performative, we shift the emphasis from analysing innovations themselves to analysing how the concept of innovation affects the organisational practices through which it acquires meaning. Deploying this framework, we studied the development of an innovation unit within TUI, a corporate tour operator. We found that actors interpreted innovation in different ways and that initially the innovation unit was considered a failure. The subsequent dramatisation of this failure resulted in a new version of this innovation unit that strengthened established actors and institutions within the organisation. Our study shows how the use of the concept of innovation in an organisation can both stimulate and hamper its innovativeness. Addressing this paradox requires sensitivity to the concept's productive role and evaluations of innovation that look beyond accomplished results.

Climate risks for Dutch tour operators .