Investigating the impact of Internet of Things services from a smartphone app on grocery shopping

This study investigates how Internet of Things (IoT) features in a grocery store’s smartphone app affect shopping behavior. In a simulated scenario, 226 participants used the app to purchase items, such as fresh salmon. The study found that IoT services like “updated expiry date”, “Aggregated national customer experience index” and “personalized offer based on product in the basket. increased engagement with the app and encouraged more purchases. The “real-time price” IoT feature had a mixed effect on user interaction. Analysis showed that certain IoT features can be a dealbreaker in a competitive grocery market. The study is published in Journal of Retailing and Consumer Services, presented at Forskning.no and Kristiania.no.

Exploring customer online reviews for new product development: The case of identifying reinforcers in the cosmetic industry

This study analyzes online customer reviews to understand preferences for certain cosmetic products. The research explores the possibilities to strengthen relationship between customers and brands in the cosmetics industry. This is explored by using the marketing firm theory. Furthermore, the study analyze customer reviews by applying market research techniques. The reviews are analyzed with text analytics to identify key factors and reinforces that influence customer expectations and sentiments about cosmetic products. Findings suggest that certain product features appeal for all customers, while others vary by their age and skin tone. This shows the importance of having segment-specific insights. The study is published in Managerial and Decision Economics and presented in Kunnskapsmagasinet Kristiania.

Call for papers: Internet of Things Applications in Healthcare: A Focus on Improving Patient Safety

Internet of Things Applications in Healthcare: A Focus on Improving Patient Safety: A special issue of Journal of Healthcare Engineering

Call for papers

This special issue seeks to attract original research articles that discuss emerging IoT technologies with regard to their impact on patient safety in healthcare. This special issue especially welcomes analytical, computational, experimental, and clinical research, state-of-the-art reviews, and conceptual and theoretical developments and designs.

The marketing firm and co-creation

Using the theory of the marketing firm, two articles discuss how marketers in an organization can respond to behaviors resulting from co‐creational customer–customer exchanges. These two papers examine marketer and customer co‐creation processes within the context of bilateral contingencies. The studies are published in Managerial and Decision Economics; 1 and 2.

Examining the Relative Impact of Professional Profile Images and Facial Expressions in Small Business-to-Business Marketing Online

This study explore how facial expressions in profile images impact contact tendencies on small business-to-business websites visitors. This paper is responding to a need for research on context-specific effects of human images. It examines how a consultant’s smiling profile photo influences the likelihood of website visitors initiating contact. The results from a conjoint study reveals that a smiling profile image significantly increased contact likelihood, while a neutral expression had less impact, and no profile image reduced contact likelihood the most. These insights offer practical implications for small businesses and guide future research directions. The full research paper can be found in Interacting with Computers and is presented at Forskning.no.

Co-creation of Value Using Social Media in the Service Industry: An Empirical Case Study of Service Innovation in a Banking and Finance Company

This study explores social business processes to enhance co-creation in the service industry. A case study of a Norwegian banking and finance company shows how they successfully co-create value with users through a co-creation lab. Since launching, the lab has contributed to the development of several new online products and services. Although the lab has a small but stable user base, findings suggest that even more value could be created. This could be through increased interaction from the company and the introduction of a user incentive program. The full study is published at the 2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM).

On the relative impact of male and female sellers’ profile image and its facial expressions upon peer users’ behavior on Airbnb

This study, published in Procedia Computer Science, examines how profile image and facial expressions of male and female sellers’ influence rental decisions in peer-to-peer accommodation platforms like Airbnb. In a simulated scenario, participants rated their likelihood of renting an apartment on Airbnb. The results from the conjoint analysis reveal that, compared to factors like price and customer reviews, a seller’s profile image and facial expressions significantly impact the likelihood of booking. More specifically, male seller images has the strongest influence both positively and negatively. Additionally, profiles with no image showed a strong negative impact on rental likelihood. Sellers on Airbnb should note that their profile image can affect potential renters’ choices.

Young People’s Views of Municipality Websites: Use, Attitudes, and Perception of Quality

This research investigated public sector websites in Norway by focusing on municipalities. Norway consists of 422 municipalities each of which has its own website. As investments in eGovernment continue to grow, this study highlights young people’s perceptions of these municipality websites. Young adults are a key user group for future digital services, and an online survey with Norwegian undergraduate students reveals important insights. Findings show that young adults rarely use municipality websites, mainly visiting them to find specific information or access digital services. They prefer digital communication methods, especially email and chat, over face-to-face or paper-based interactions. Participants rated the quality of municipality websites as moderate to good, though not exceptionally high. This study is published at International Conference on Electronic Government and the Information Systems Perspective.

The relationship between young consumers’ decision-making styles and propensity to shop clothing online with a smartphone

Consumer behavior in retail is changing due to the adoption of technologies such as the internet and the smartphone. This study, published in Procedia Computer Science, focuses on studying the relationship between young consumers’ decision-making styles and their propensity to shop clothing online with a smartphone. Using the Consumer Styles Inventory (CSI) as a foundation, a survey of young adults identified four key factors; brand consciousness, fashion consciousness, impulsiveness, and recreational shopping behavior, that strongly correlate with the frequency of browsing and purchasing clothing online through smartphone. These findings are important for retailers aiming to increase revenue through mobile shopping solutions.

What’s the “Thing” in Internet of Things (IoT) in Grocery Shopping? A Customer Approach

The Internet of Things (IoT) technology presents an opportunity for retail groceries to develop an infrastructure that makes physical things such as mobile phone, shopping basket, store shelves, digital display, and, even the product itself smart, allowing real-time interaction with customers both in the physical store and in the virtual store. This study explores how IoT can enhance value in retail grocery choice situations. To analyze IoT’s impact on consumer decisions, we conducted a conjoint experiment where participants purchased fresh salmon in a grocery store. The results demonstrated that compared to static information on price, expiry date, quality, and general offers, real-time information was the most influential factor. Moreover, quality ratings from other customers had the strongest effect, followed by personalized offers based on cart items, real-time expiry dates, and real-time pricing. The full study can be found in Procedia Computer Science.