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This paper aims to examine the relationship between student loan debt and first-time home buying among college graduates aged 23 to 40 years old in the USA.

The authors use the Federal Reserve’s 2019 Survey of Consumer Finances data on American households to present descriptive statistics and run logistic regressions that measure the effects of student loan debt on first-time home buying. The authors also present original survey data of mortgage lenders that provides an industry-level perspective.

The authors find that having student loan debt does not by itself prohibit first-time home buyers. On the contrary, having student loan debt increases the likelihood of homeownership by 15.1%. People with student loan debt, however, buy homes that are 39.2% less expensive and have 58% less home equity compared to first-time home buyers without student loans. In addition, it is found that the amount of student loan debt is important. People with student loan debt above the median amount among people with student loan debt ($35,000) are 27% less likely to be first-time home buyers.

This paper provides public policy analysts and other researchers a different perspective on the correlation between student loan debt and home buying. This study focuses narrowly on first-time home buyers who are college graduates between 23 and 40 years. Thus, capturing the youngest cohort of first-time home buyers and examine the primary factors that influence their home buying decisions.

First-time homebuyers are historically the largest segment of home buyers making them an important subcategory to study. The rise in student loan debt is posited to explain declining homeownership among younger people. The current literature on student loan debt and home buying often studies samples that are too heterogeneous resulting in mixed findings. This paper adds to the existing literature by filtering the sample to study the effects of student loan debt and first-time home buying among people with at least a college degree who are between 23 and 40 years.

Discusses new products introduced in the marketplace as being repurchasable and concerns itself with an estimate of the ratio of first‐time buyers to repeat buyers, relating this to the product expansion rate and time between first‐time and repeat buying. Gives fundamental hypotheses and defines the problems involved using tables and mathematical equations for emphasis giving examples of applications. Concludes that the model here may be usefully employed to obtain indications of the market wherever the sale of a product is expanding rapidly – but the turnover is also large.

The purpose of this paper is to study integrated inventory system and pricing and ordering strategy for vendor‐buyer supply chain system. Here, the vendor offers a trade credit to the buyer when the buyer's order quantity exceeds a given pre‐specified quantity. Therefore, to incorporate the concept of vendor‐buyer integration and trade credit linked, the authors analyze the model to determine the optimal strategy for an integrated vendor‐buyer inventory system under the condition of credit linked to the order quantity when demand is quadratic.

A mathematical model for integrated inventory system is developed when demand rate is increasing function of the time and decreasing function of the retail price. By analyzing the total channel profit function, the authors developed some useful results to characterize the optimal solution and provide an iterative algorithm to find the retail price, buyer's order quantity and the number of shipments per production run from the vendor to the buyer.

By developing a solution algorithm, the optimal retail price, order quantity and number of shipments from the vendor to the buyer are provided. Numerical examples and sensitivity analyses are presented to validate the proposed model. Through extensive numerical analyses, it is observed that a longer credit term increases profits of the player for the entire supply chain. The vendor should establish the threshold for allowing trade credit comprehensively to ensure the greatest benefit for both players.

Most of the research articles available in the literature considered the constant demand or linearly changing demand. In this paper, a mathematical model is developed considering time dependent quadratic demand. Very few researchers have investigated joint optimal policy in vendor‐buyer supply chain system, considering trade credit is linked to order quantity, and still there are not many findings on the benefit of integrated policy and trade credit.

The purpose of this paper is to examine how communication with suppliers influences performance during production ramp-up. Often, time, cost or quality targets are missed in production ramp-ups while the number and frequency of ramp-ups is further increasing. The goal of this paper is thus to contribute a better understanding if and to which extend communication content or communication relationship is affecting ramp-up performance.

The research uses data from a dyadic survey (N = 160) in the German automotive industry. The data set comprises responses from buyers and suppliers. Constructs, namely, information and relationship quality, as well as communication satisfaction, are measured. The effect of communication is evaluated referring to cost, quality and time dimensions of performance. The analysis is applied with structural equation modeling methodology. This research is complemented by a multigroup analysis (MGA) especially comparing buyer and supplier respondent groups.

The results indicate that communication satisfaction positively influences ramp-up performance and that information quality is of higher relevance than relationship quality. Briefly, information exchange (what information to transfer) is more important than relationship management (how to transfer information). This finding contrasts previous literature focusing on relationship factors in communication settings. Furthermore, findings from MGA sustain the findings, because effects are also analyzed from a supplier’s or buyer’s viewpoint. Overall, the findings imply that supplier communication in production ramp-up must of course provide a high level of information quality. However, to optimize ramp-up performance also a high level of relationship quality is required.

This study featured data from the German automotive industry from buyer’s and supplier’s perspective. This limits its generalizability, yet provides opportunities to test the findings through longitudinal studies, potentially gathering data from other sectors.

This research recommends managers deliver high information quality to improve communication satisfaction. Hence, this survey provides support for business communication o enhance ramp-up performance to achieve success in buyer–supplier relations.

Besides the original dyadic database, this research addresses production ramp-up as a very dynamic process. Plans and forecasts change often, thus supplier communication takes place in a stress situation. Then, communicators might overstate information quality and lose sight of relationship quality. The study contributes to this field of research and postulates that (automatic, autonomous) data exchange requires behavioral and relational support. The findings are useful for companies in stress situation (e.g. also a pandemic supply crisis) and will avoid that the optimization of information exchange disregards the relationship aspect.

Building on the multi-divisional business model (M-model), the purpose of this paper is to develop a better understanding of triadic business models – T-models – and how they create value for their three categories of stakeholders, i.e., the suppliers, the platform firm and the buyers. The research question that guides the present study is twofold: How is value created individually and collectively in triadic business models and what might challenge their sustainability?

Anchored in extant literature and a process of conceptual modeling with empirical examples from Uber, a new business model archetype was developed for two-sided markets mediated by a middleman.

The paper provides a theoretically and conceptually derived roadmap for sustainable business in a triadic business model, i.e., for the buyers, sellers and the platform firm. This model is coined the T-model. A number of propositions are derived that argue the relationship between key constructs. Finally, the future beyond the T-model is explored.

The paper identifies, illustrates and discusses the ways in which value is created in sustainable T-models. First, value is created from a number of sources, not only from lower transaction costs. Second, it is proposed that it is not about a choice of either M-model or T-model but rather a continuum. Toward 2050, technology in general and Blockchain specifically may for some transactions or services, eliminate the need for middlemen. The main conclusion is that despite this development, there will, for most organizations, be elements of the M-model in all or most T-model businesses. In short: middlemen will have elements of the M-model embedded in the T-model when co creating value with buyers and sellers.

While two-sided T-models are not new to the business area, surprisingly no papers have systematically investigated, illustrated, and discussed how value is created among and between the three stakeholder categories of the T-model. With this insight, more sustainable T-models can be created.

In revisiting Festinger's theory of cognitive dissonance, this paper seeks to go beyond traditional business-to-consumer (B2C) research parameters and explore the full extent of its potential application within a New Zealand business-to-business (B2B) purchasing context.

The study's core findings are based on four separate focus group discussions with B2B salespeople. Responses were recorded and analysed according to the manifest content of the discussions. These focus groups were preceded by, and followed up with, two other enquiries that sought the perspectives of B2B buyers.

Intended for use as a learning tool for aspiring B2B salespeople and their instructors, a new typology of four generic potential post-decision ‘cognitive states’ is proposed, which, depending on the scenario at hand, will likely reflect the buyer's mindset.

The generalisation of findings may be somewhat limited because the focus groups were drawn from a convenience sample totalling just 20 practitioners. Some participants might also have felt slightly constrained, leading to opinions that are subject to bias.

Examples of differing buying scenarios are profiled and explained from the perspective of their implications for salespeople. Suggestions as to how sellers can best accommodate the post-decision cognitive states experienced by their buyers are delineated.

Conventional wisdom suggests that post-purchase cognitive dissonance is the sole ‘cognitive state’ towards which a B2B salesperson needs to be attuned to for the purpose of taking some form of accommodating action. However, this study indicates that three other states relating to the aftermath of a buyer's decision, whether a purchase is made or not, also merit attention.

The purpose of this paper is to study the non‐consumption of a service by advance buyers, the re‐selling of relinquished capacity at spot time and the effect on the pricing of advance and spot demand of services.

The paper employs mathematical economics modeling technique.

The model shows that advance prices are always lower than spot prices due to the non‐consumption effect and also that providing a refund to advance buyers, as insurance against non‐consumption, may be. By modeling in the capacity of the firm, the paper also presents the firm's capacity conditions when the firm does not sell in advance and also when market failure occurs i.e. when the firm does not sell in advance nor at consumption time.

The model does not consider uncertainty in the spot price and assumes a one‐stage optimization. Furthermore, the model extension with refund is numerically derived.

This model informs industry on the significance of non‐consumption of a service and the re‐selling of relinquished capacity. It also highlights the importance of the interaction between capacity and refunds in advance and spot selling.

This paper contributes to extant literature by demonstrating that when heterogeneous demand behavior is explicitly modeled with non‐consumption, capacity and refunds, firms would then be able to understand where and how service revenue is being obtained (higher price or higher demand) and the impact of various sensitivities on revenue.

Digital technologies have made it possible for organizations to enhance service delivery and provide consumers a way to experience a product or service before even seeing it in person. Prior work has validated consumer purchase decision-making models like the Engel, Kollat and Blackwell (EKB) model in digital and multi-channel purchase environments. This research aims to explore the various impacts of digital technologies, specifically virtual reality (VR) and augmented reality (AR) features, on the different stages of the EKB model in a high involvement purchase decision context. In addition, the use of such technologies is examined as a competitive advantage for sales agents.

An in-depth market analysis of VR and AR technologies related to residential real estate is conducted. Then the research questions are analyzed through detailed feedback gathered from 33 prospective home-buyers and realtors in the USA.

Insights from buyers and sales agents (realtors in the context of this research) suggest that VR and AR technologies can enhance consumer information search and expedite the time consumers spend evaluating purchase alternatives. As these technologies advance in their customization features, they may also increase the conversion between alternative evaluation and purchase, but only if they are realistic and provide high quality experiences. Finally, digital technologies are viewed as becoming a necessity in high involvement sales contexts, suggesting that additional features or innovative ways to use these technologies may serve as sources of competitive advantage for sales agents.

This is one of the first research studies to explore the perceived impacts of VR and AR technologies on the stages of the EKB model consumer decision model. It builds on prior work and offers direction for future research.

This study aims to explicitly explore the criteria or attributes that would influence buyer decision on purchasing residential property in Malaysia.

Generally, a total of 80 respondents participated in this study, and they hail from two states in Malaysia, namely, Kuala Lumpur and Selangor. This study has structured the respondents’ demographic profiles into different categories such as gender, age, marital status, race, education, type of buyer and income level. For the purpose of analysis, this study has incorporated a versatile fuzzy approach known as the analytic hierarchy process to fulfil the objective of study. From the previous literatures, the extracted variables consist of home amenities, location, pricing, developer, financing, structural factor and community amenities.

The results from priority vector indicate that buyers give higher rank to the pricing (0.2330) criteria as the most influencing factor in buying residential property, followed by other criteria such as community amenities (0.1450), location (0.1430), financing (0.1420), structural factor (0.1260), home amenities (0.1060) and developer (0.1040) in Kuala Lumpur and Selangor. In addition, the consistency index of 0.00384, which is lower than 0.10 (rule of thumb), postulates that the respondents clearly understood the question requirements and there is no inconsistency involved in the result.

This study attempts to discover how all those seven elements influence buyer decision on purchasing residential property. The results indicate that the outcome seems to be reliable and justifiable with the current period in the context of Malaysia housing sector.

This study is expected to provide more insights into the consistency of attributes that influence the purchase of residential property in the context of Malaysia. The points highlighted in this study are expected to benefit various parties such as potential home buyers, housing developers, marketers and government policy regulators, as well as academic institutions, to design a better policy or blueprint that can enhance the development of the housing sector in Malaysia.

The dual process of thinking between conscious processes and unconscious processes generate a different decision. Thinking consciously produces rational decisions. However, a person’s cognitive limitation makes him or her simplify complex scenarios and think implicitly result in making decision in heuristics or rules of thumbs. This paper aims to evaluate patterns of decision-making relationships and dual motives for home purchasing by first home buyers and family life cycle in Indonesia.

Collecting data was done by distributing questionnaires to home buyers within three years (2013-2016). Further data were processed using ANOVA based on group of dual motives, time for buyer and family life cycle.

The results show that buyers have consumption motives in buying a residence and they behave rational, while investors prefer to buy an apartment and tend to behave heuristics. Dual motives of time for buyers are not significant to decision model. Family life cycle is significant to decision model based on dual motives.

This is an unpublished dissertation study to qualify for graduation.