Presented at the 14th 14th European Conference on Management, Leadership and Governance ECMLG 2018: From the article: "Online shopping in The Netherlands is rapidly becoming more popular and many web-shops are aiming to develop improved customer journeys. As a consequence pure play web-shops switch to an Omni-channel approach while conventional businesses add ‘online’ to their offline sales. In The Netherlands fast growth of online sales is made possible by industry organisations such as ‘Thuiswinkel.org’, an organisation that supports their over 12.000 retail-members with knowledge, development and information on all possible aspects of online shopping. In 2017 these members raised the question whether it is possible to mimic the ‘traditional sales conversation’ to online environments by deploying AI based conversation technology. To research this question the specific actual benefits for consumers need to be determined of the conventional ‘offline-shopping sales conversation’. Next, the current online shopping opportunities presented by the B2C market of The Netherlands were studied including the level of interaction (conversation) that is technically provided. With so many industries active in the online arena it was decided to focus on the following industries: Electronics, Clothing, Food, and Financial services. This selection was made based on levels of online sales (highest for these sectors) and interests of Thuiswinkel.org members. Subsequently, the offline sales conversation benefits that were found as ‘most important’ in these industries, were used to construct online customer journeys. These are then used to formulate requirements for the comparison and selection of conversation systems. With this insight in how to achieve true conversational commerce in the defined customer journeys of the four industry’s the retailers’ question is answered. The outcome shows differences per industry in importance of a limited number of ‘e-sales conversation’ benefits. An important conclusion is that the current available technology cannot deploy all complex aspects of the offline sales conversation benefits in an online shopping environment. The technology still needs to progress significantly to adopt offline sales conversation aspects. On the other hand pure substitution of offline benefits may not be required. Further, the maturity of the functionality within each conversation system appears to be of importance as requirements differ per company. Additional research is required to extend on the differences and first insight found in the options to develop ‘e-sales conversation’."
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When it comes to shopping and spending time in the city, much of the traditional offering has made place for something new, usually more expensive: coffee bars like Starbucks with a wide range of cafés and lattes; bakery stores with a big choice of luxury croissants, sourdough, gluten free or spelt bread; concept stores with a mix of special brands, vintage stores and again good coffee or glass of prosecco at 17.00. But a crafts shop, a furniture upholstery or a good butcher? Hard to find. One of the main reasons for this change is that newcomers generally bring more money to an area but also different lifestyles and tastes, going with the flow of the latest trends and ready to pay for special brands and exceptional or innovative concepts. In the meantime, prices are booming. The term we often use for this phenomenon is gentrification: in my view, it describes a process whereby the renovation of a particular city area attracts newcomers with a higher socio-economic status who in turn make the area more popular. The effect of this popularity is an increase in housing prices as well as leisure offerings, meaning (recreative) shops, bars and sport or cultural activities, which tend to push out the original residents of their own neighbourhood. In this article you can read about gentrification and its visible effects on three shopping areas that feature market places and leisure activities – Van der Pek street, Zonneplein and Purmerplein situated in Amsterdam North, a previously traditional area. I will share with you the outcomes of our research into the liveability of these shopping areas, and our placemaking suggestions, based on the key indicators of the placemaking movement (Madden, 2018).
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Reducing food waste at the consumer level is a critical component of the U.N. sustainable development goals, yet consumer behavior in this domain remains complex and multifaceted. This study extends the Theory of Planned Behavior (TPB) to develop a comprehensive model of food waste behavior in a developed economy, integrating both cognitive and structural factors that influence consumer decisions. Using survey data from 309 U.S. households, we empirically test the impact of retail strategies, perceived utilitarian food waste benefits, and holiday habits on food waste behavior. The findings reveal that retail strategies, such as promotions and packaging tactics, encourage over-purchasing, contributing to increased waste. Additionally, consumers who perceive benefits in discarding food–such as making space for fresher items or avoiding the effort of meal planning–exhibit higher food waste tendencies. Seasonal consumption patterns further amplify waste, as holiday-related shopping habits drive excessive food acquisition. These results underscore the need for interventions that address both individual decision-making processes and broader market-driven influences. By integrating structural and habitual determinants into the TPB framework, this study enhances the theoretical understanding of food waste behavior and offers practical implications for policymakers and retailers seeking to reduce consumer-level food waste.
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In most shopping areas, there are place management partnerships (PMPs) that aim to increase the competitiveness of the area. Collective digital marketing activities, such as the adoption and update of collective websites and social media pages, provide opportunities in this regard. Currently, the extent to which digital marketing activities are being employed varies widely among PMPs. However, studies investigating the factors that influence the uptake of digital marketing activities are lacking. This study applies a resource-based view to fill this gap, using data from an online survey about collective digital marketing activities among 164 official representatives of PMPs in urban shopping areas in the Netherlands. Regression analyses were employed to examine the extent to which the resources of PMPs influence the adoption and update frequency of the two most often used digital marketing channels: websites and social media pages. The results revealed that while the adoption of collective digital marketing channels is strongly influenced by the physical resources that characterize the shopping area itself, the update frequency of these channels is influenced more by the organizational resources of PMPs. In addition, the strategic choice of PMPs to deploy human and financial resources for the benefit of collective digital marketing activities leads to increased use of these activities. This effect is reinforced by the fact that digital marketing skills gained through experience contribute to a higher update frequency of the adopted channels. As such, this study provides empirical evidence on the influence of PMPs shared resources upon their digital marketing activities.
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De winkelstraat loopt leeg, want klanten shoppen steeds meer online. Winkels zetten daarom steeds vaker beleving in, om klanten een unieke ervaring mee te geven. Wat zijn de laatste ontwikkelingen rondom klantbeleving in winkels, welke innovaties zijn er, en werkt dit?
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Objective: To predict mortality by disability in a sample of 479 Dutch community-dwelling people aged 75 years or older. Methods: A longitudinal study was carried out using a follow-up of seven years. The Groningen Activity Restriction Scale (GARS), a self-reported questionnaire with good psychometric properties, was used for data collection about total disability, disability in activities in daily living (ADL) and disability in instrumental activities in daily living (IADL). The mortality dates were provided by the municipality of Roosendaal (a city in the Netherlands). For analyses of survival, we used Kaplan–Meier analyses and Cox regression analyses to calculate hazard ratios (HR) with 95% confidence intervals (CI). Results: All three disability variables (total, ADL and IADL) predicted mortality, unadjusted and adjusted for age and gender. The unadjusted HRs for total, ADL and IADL disability were 1.054 (95%-CI: [1.039;1.069]), 1.091 (95%-CI: [1.062;1.121]) and 1.106 (95%-CI: [1.077;1.135]) with p-values <0.001, respectively. The AUCs were <0.7, ranging from 0.630 (ADL) to 0.668 (IADL). Multivariate analyses including all 18 disability items revealed that only “Do the shopping” predicted mortality. In addition, multivariate analyses focusing on 11 ADL items and 7 IADL items separately showed that only the ADL item “Get around in the house” and the IADL item “Do the shopping” significantly predicted mortality. Conclusion: Disability predicted mortality in a seven years follow-up among Dutch community-dwelling older people. It is important that healthcare professionals are aware of disability at early stages, so they can intervene swiftly, efficiently and effectively, to maintain or enhance the quality of life of older people.
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