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The purpose of this paper is to investigate how fairness evaluations are constructed in a B2B context.

This paper conducts a field study of Air Greenland and its internal and external customers based on strong structuration theory (Stones, 2005). The authors employ context and conduct analysis to analyze how fairness evaluations emerge across four levels of structuration.

The paper finds that fairness evaluations emerge as a result of the interaction between external institutional pressures, agents' internal structures, and situated reflection and outcomes. The construction of fairness evaluations was embedded in contradictory institutional structures, where groups of actors constructed different evaluations of fair profits, procedures and prices. Actors furthermore worked on changing position-practice relations which shifted relations, external structures and affected outcomes and fairness evaluations.

This paper offers a conceptualization of embedded agency as emerging across the four levels of structuration. This contributes to debates in strong structuration theory through conceptualizing and analyzing how actors may be both be constrained and oriented by structures while reflexively adapting structures across the four levels of structuration. The paper extends extant pricing fairness research by illustrating how actors' construction of fairness flexibly develop fairness evaluations while responding to legitimacy and societal demands, including the needs of particular customer groups.

The aim of the article is identifying the hierarchy of products that final purchasers are ready to co-create with offerors and defining the place that food products occupy in this hierarchy in the context of the preferred environment for cooperation.

Striving to fill the cognitive and research gap identified during the analysis of the world literature was the basis for the survey, which included 1,196 representatives of adult final purchasers in Poland. The primary data collected were subjected to statistical analysis using the following methods: average grade analysis, comparative analysis, exploratory factor analysis and the Kruskal–Wallis (KW) test.

This study found that the respondents would like to co-create food products which ranked third among the analyzed groups of products with offerors. Most respondents preferred the parallel use of the online and offline environments as places of cooperation with offerors. Among the total of respondents and the respondents who preferred the internet as an environment for cooperation, a group of people willing to participate in the creation of food products was identified. In both cases, these groups were characterized by the fact that their members were not ready to co-create other groups of products at the same time. Food products were one of the two groups of products for which the preferred environment for cooperation turned out to be a statistically significant feature differentiating the responses regarding what products the respondents would like to co-create with offerors.

The scope and the approach proposed in this article testify to its originality. So far, the preferences of final purchasers regarding (1) product groups, including food, that they would like to co-create with offerors and (2) the environment for cooperation with offerors have not been studied. Ipso facto, the significance of this environment for preferences related to products that purchasers would be ready to co-create has not been investigated. Conclusions drawn on the basis of the results of the research constitute a valuable contribution to the theory of marketing and the theory of behavior, related especially to the joint creation of food products. The results are characterized by high application value, making it easier for offerors to take actions better suited to the preferences of active final purchasers.

This paper aims to investigate the interactive relationship between learning styles and cognitive biases as two essential factors affecting information processing in online purchases.

This research is applied in nature but extends the knowledge in the area of consumer behavior. By using the correlational research method, the present study uncovers the relationship between various sorts of decision biases and learning styles among online buyers.

According to the results, the most affected learning style among all is reflective observation. Several biases influence people with this learning style, namely, risky framing, attribute framing and aggregated/segregated framing. In the case of active experimentation, online customers can undo its effect. Therefore, online sellers should be aware of their target customers with such a learning style. In addition, online purchasers with the reflective observation learning style are more prone to aggregation and segregation of sales information.

The findings enhance the understanding of consumer buying behavior and the extent to which learning styles impact cognitive biases and framing effects in online shopping.

This case is about “Red”, a cross-border e-commerce platform developed from a community which was built to share overseas shopping experience. With sharp insights into the consumption behavior of urban white-collar women and riding on its community e-commerce advantage, “Red”, a cross-border e-commerce startup, pulled in three rounds of financing within just 16 months regardless of increasingly competitive market. On the other hand, well-established platforms such as T-mall International and Joybuy also stepped in, and their involvement will also speed up the industry integration and usher in a reshuffling period. Confronted with the “price war” started by those e-commerce giants, in what ways can “Red” adjust its shopping experience and after-sales services to enhance the brand value and sharpen its edge?

The scale and measure of the impact of the coronavirus disease 2019 (COVID-19) on economic development has been a popular topic in the literature. The global pandemic has posed challenges to the supply chains and logistics in many countries, causing delays and disrupting supply chains and decreasing the volume of logistics flows. To ensure economic growth in the future, it is essential to acknowledge the impact the COVID-19 in order to increase the accuracy of anticipating changes during widespread pandemic. In this study, the linkage between economic development and the COVID-19 estimated and real impact is illustrated in a case study comparison between the Finnish and German logistic companies' viewpoints. The study shows how the international COVID-19 pandemic has affected to logistics organization perceptions on the changes in operational environment and continuity of business.

The empirical part of the study relies on mixed methods approach using panel data from logistics companies and expert group discussion. The panel data participants were logistics sector actors and the data was collected through a questionnaire. Numerous sources found from the literature are used to gain a holistic understanding of the attributes and impact of change in the logistics field.

This study provides an important, yet sparsely addressed viewpoint to the supply chain management literature by illustrating the changes caused be a widespread pandemic can cause to the logistics sector companies. Furthermore, the findings illustrate how different roles in supply chain actors perceived the COVID-19 in their operations, before and during the pandemic. The findings of the paper illustrate how drastic uncertainty and changes in the operational environment is seen in the logistics organizations. The findings suggest that increased uncertainty and changes in the operational environment can cause significant drop in expectations of the business development in the logistics sector depending on the actor’s role in the supply chain and international perspective.

This paper contributes to the supply chain management and logistics literature with insights into how widespread pandemic is perceived in different roles of the supply chain as well as in different countries where the pandemic has spread in different pace. Analyzing the differences between the expected and realized impact from the business environment can give valuable information for academics and managers in the field, and thus give insights to improve the planning and decision-making in logistics field during a global pandemic.

Building on Stimulus-Organism-Response theory, the current study examines the influence of pickup service quality in buy-online pickup in-store service (BOPIS) on users' perceived relationship investment with the mediating role of users' perceived experience quality and relationship proneness. This research also demonstrates the subsequent impact of BOPIS users' perceived relationship investment on their relationship performance indicators, like their cross-buying behaviors (breadth), frequency of their purchase (depth) and longevity of their relationship (length) with the store. The moderating role of BOPIS users' service experience consciousness in a few proposed relationships was tested.

The research is descriptive, quantitative and cross-sectional investigation. The study employed a purposive sampling technique. It was conducted using data collected using a validated self-administered questionnaire from 786 Indian omnichannel shoppers who have used BOPIS services in the past. The proposed conceptual model was tested using Partial Least Squares-Structural Equation Modeling.

The results indicate that BOPIS users' perceived experience quality and relationship proneness positively mediate pickup service quality and perceived relationship investment. The users' perceived relationship investment subsequently significantly positively impacts different dimensions of their relationship performance with the store (breadth, depth and length). Additionally, BOPIS users' service experience consciousness has a significant negative moderating effect on the direct relationship between pickup service quality and different dimensions of relationship performance.

The study is conducted in the Indian population, where omnichannel retailing is still nascent.

This study addresses the need to investigate the relationship performance indicators of BOPIS users, like their cross-buying behaviors(breadth), frequency of their purchase(depth) and longevity of their relationship(length) with the store. This study is the first to show that pickup service quality might explain the relationship performance of BOPIS users through their perceived experience quality, relationship proneness and relationship investments. The moderating role of BOPIS users' service experience consciousness in a few proposed relationships was also tested for the first time.

From the perspective of housing affordability, Portugal is an interesting case study, considering that Portugal ranks 5th in terms of price-to-income ratio and has experienced, since 2015, a significant increase in real estate prices.

The provision of housing is a critical social development factor. With the growing worldwide urbanization and the demand pressure over real estate in many cities, the problem of affordability has gained increase attention by policy makers. Housing affordability is hardly a new topic from a literature perspective, but the recent post-pandemic worldwide inflation growth has re-centered affordability as key topic in the housing agenda. This paper provides a comprehensive overview on past literature and a detailed analysis on the Portuguese market at the municipal level, by analyzing the changes in housing affordability in recent years.

Despite this growth, overall, affordability has improved. The study also shows the importance of municipal-level analysis, given the significant geographical differences. The authors' study confirms that many municipalities, outside metropolitan areas, exhibit low levels of affordability. Nevertheless, markets with higher average real estate values tend to exhibit even lower affordability, outpacing the higher levels of income.

Previous studies have focused on affordability issues on a national or highly aggregated level or focusing only on the two largest metropolitan areas in the country. This paper provides a deeper understanding on the inequalities of housing affordability between Portuguese municipalities.

This paper presents an exploratory case study on the impact of user-oriented digitalization on records management in the Norwegian public sector. The purpose of this study is to identify some of the opportunities and issues that may arise for records management professionals, case workers and citizens.

The concept of administrative burdens and how user-oriented design can reduce or increase them is the main theoretical focus. A series of five interviews with records management professionals from five municipalities and three with IT staff members from two larger state institutions served as the primary source for this qualitative case study in conjunction with a literature review. The interviews were conducted in a semistructured format with a general interview guide.

Smaller municipalities lack the resources of larger state institutions, and they do not involve users in the same extent, even though their records management professionals strive for user-orientation. The work with directly involving users appears to vary in larger institutions, where resources must still be properly prioritized. Reducing administrative burdens is vital for user-oriented design, but digitizing services often increases them, so service delivery must consider the benefits of local, in-person guidance in relation to wholly digital services.

While much research has been conducted in Norway on digitalization, little has been done to examine the implications for records management work or the public’s use of records. By identifying some key concerns, this paper hopes to serve as a springboard for further research in these areas.

In developing countries such as India, start-ups play an essential role in “industrial output,” “Gross Domestic Product ” and “employment creation.” Evidence suggests that pandemics have risen over the last century due to rising global travel and assimilation, urbanization, alterations in land use, and significantly larger exploitation of the natural environment. These trends are likely to continue and intensify. These pandemic episodes affect businesses, especially start-ups. Supplier selection is among the vital critical elements that start-ups must include in start-ups' strategy procedures during the pandemic episodes. This study's focus is to “identify,” “analyze,” and “categorize” the factors affecting supplier selection in start-ups during frequent pandemic episodes like coronavirus disease 2019 (COVID-19).

Through “literature review” and “experts' opinion” from various start-ups in India, ten affecting factors were identified. Total Interpretative Structural Modeling (TISM) and Cross-Impact Matrix Multiplication Applied to Classification (MICMAC) were employed to analyze the interrelationship among the factors affecting the supplier selection on start-ups during frequent pandemic episodes, and these factors were ranked as “autonomous,” “independent,” “linkage,” and “dependent” factors.

The findings show that “performance history,” “service levels,” “technical capability,” and “financial stability” are the most critical factors affecting the supplier selection on start-ups during frequent pandemic episodes. The next importance should be safety and environmental concern” and “quality.”

The factors affecting supplier selection on start-ups during frequent pandemic episodes are the current focus of this study. This study is mainly performed on Indian start-ups and can be extended to other countries.

The start-ups can rely on this study to clearly understand the factors affecting the supplier selection on start-ups during frequent pandemic episodes.

There is no research regarding factors affecting supplier selection on start-ups during the COVID-19 emergencies. This research gap is filled by analyzing aspects linked to supplier selection in start-ups. This gap inspired the present study, which employs the “Total Interpretive Structural Modeling (TISM)” technique to uncover supplier selection determinants and investigate hierarchical interconnections among factors influencing/affecting supplier selection in start-ups during frequent pandemic episodes.