Zoekresultaten

Workplace innovation and organizational performance in the hospitality industry

Change has become continuous, and innovation is a primary approach for hospitality, i.e., hotel companies, to become or remain economically viable and sustainable. An increasing number of management researchers are paying more attention to workplace rather than technological innovation. This study investigates workplace innovation in the Dutch hotel industry, in three- and four-star hotels in the Netherlands, by comparing them to other industries. Two samples were questioned using the Workplace Innovation survey created by the Dutch Network of Social Innovation (NSI). The first was conducted in the hospitality industry, and these data were compared with data collected in a sample of other industries. Results suggest that greater strategic orientation on workplace innovation and talent development has a positive influence on four factors of organizational performance. Greater internal rates of change, the ability to self-organize, and investment in knowledge also had positive influences on three of the factors—growth in revenue, sustainability, and absenteeism. Results also suggest that the hospitality industry has lower workplace innovation than other industries. However, no recent research has assessed to what degree the hospitality industry fosters workplace innovation, especially in the Netherlands. Next to that, only few studies have examined management in the Dutch hotel industry, how workplace innovation is used there, and whether it improves practices.

Future Retail City Centre

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%.

Internationaliseringsbeleid opleiding Ondernemerschap & Retail Management

Internationaliseringsbeleid opleiding Ondernemerschap & Retail ManagementIn de keuze van internationale betrekkingen met specifieke partners/regio 's waarmee de Saxion opleiding Ondernemen & Retail Management wenst samen te werken, is een verkenned onderzoek uitgevoerd. Op basis van de focus van lectoraten verbonden aan de School of Commerce and Entrepreneurship en belangrijke Europese regio 's is een analyse uitgevoerd welke voorkeursregio 's geschikt zijn om duurzame partnerships op het gebied van onderzoek en onderwijs aan te gaan.Internationale regionale clusters die lijken op de relevante regio 's waarmee Saxion intensief samenwerkt zij benoemd evenals een advies om deze samenwerking te intensiveren. 

Advancing industry through design

Design educators and industry partners are critical knowledge managers and co-drivers of change, and design graduate and post-graduate students can act as catalysts for new ideas, energy, and perspectives. In this article, we will explore how design advances industry development through the lens of a longitudinal inquiry into activities carried out as part of a Dutch design faculty-industry collaboration. We analyze seventy-five (75) Master of Science (MSc) thesis outcomes and seven (7) Doctorate (PhD) thesis outcomes (five in progress) to identify ways that design activities have influenced advances in the Dutch aviation industry over time. Based on these findings, we then introduce an Industry Design Framework, which organizes the industry/design relationship as a three-layered system. This novel approach to engaging industry in design research and design education has immediate practical value and theoretical significance, both in the present and for future research. https://doi.org/10.1016/j.sheji.2019.07.003 LinkedIn: https://www.linkedin.com/in/christine-de-lille-8039372/

Fashion-as-a-Service

This article seeks to contribute to the literature on circular business model innovation in fashion retail. Our research question is which ‘model’—or combination of models—would be ideal as a business case crafting multiple value creation in small fashion retail. We focus on a qualitative, single in-depth case study—pop-up store KLEER—that we operated for a duration of three months in the Autumn of 2020. The shop served as a ‘testlab’ for action research to experiment with different business models around buying, swapping, and borrowing second-hand clothing. Adopting the Business Model Template (BMT) as a conceptual lens, we undertook a sensory ethnography which led to disclose three key strategies for circular business model innovation in fashion retail: Fashion-as-a-Service (F-a-a-S) instead of Product-as-a-Service (P-a-a-S) (1), Place-based value proposition (2) and Community as co-creator (3). Drawing on these findings, we reflect on ethnography in the context of a real pop-up store as methodological approach for business model experimentation. As a practical implication, we propose a tailor-made BMT for sustainable SME fashion retailers. Poldner K, Overdiek A, Evangelista A. Fashion-as-a-Service: Circular Business Model Innovation in Retail. Sustainability. 2022; 14(20):13273. https://doi.org/10.3390/su142013273