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This study aims to identify the propensity for clients (legal and natural persons) to adopt peer-to-peer (P2P) short-term insurance policies as opposed to traditional and/or centralized short-term.

In this paper data was collected through a survey of 102 sampled short-term insurance clients using convenience sampling. The TAM2 questionnaire was adapted to evaluate the intention to adopt a P2P insurance policy.

The findings of this study shed light on the factors influencing the adoption and (dis)continuation of short-term insurance products, both traditional and digital, among South African consumers. The results demonstrate that perceived usefulness, ease of use, trust, risk perception and subjective norm play crucial roles in individuals' intention to use or (dis)continue the use of these insurance products.

The study's findings provide actionable insights for practitioners in the short-term insurance sector, with a focus on marketers and e-commerce professionals. These insights emphasize the need to prioritize user-friendly design and trust-building measures in the development of P2P insurance systems. Additionally, practitioners should consider harnessing the power of social influence and carefully balancing innovative features with familiarity in their marketing efforts. These strategies are poised to enhance the adoption and competitive positioning of P2P insurance solutions amidst the evolving landscape of digital transformation.

This study makes a substantial contribution by employing the technology acceptance model (TAM) in a novel and unconventional manner. It not only explicates the intricate dynamics governing the adoption and discontinuation of short-term insurance products, encompassing both conventional and digital alternatives, within the South African consumer milieu but also extends its purview to infer the reasons behind the limited widespread adoption of the digital counterpart, despite its superior value proposition compared to the traditional offering. The findings elucidate the critical determinants shaping individuals' decisions in this dynamic market segment. This research enhances the global discourse on insurance adoption with a unique South African perspective and furnishes insurers and marketers with empirically grounded insights to optimize their strategies and cultivate substantive connections with their target demographic.

This study seeks to analyse if the adjustment towards the target short-term debt ratio of small and medium-sized firms (SMEs) is related to financial distress risk.

Data obtained for a sample of Portuguese manufacturing SMEs from 2010 to 2017 were analysed using the system-generalised method of moments (GMM-sys). Using the modified Z-Altman score, the authors classify SMEs according to their exposure to financial distress risk.

Manufacturing SMEs exposed to a high risk of financial distress rebalance their short-term debt ratio quicker. However, regardless of the financial distress risk level, SMEs distant from the target short-term debt ratio adjust more slowly, suggesting that transaction costs are greater than financial distress costs.

Policymakers should promote the access to external sources of finance with low transaction costs for SMEs, exposed to low levels of financial distress risk, to rebalance their short-term debt ratios quicker. Distressed SMEs far from their target short-term debt ratios, but with capacity to rebalance, need government programmes to access finance with low transaction costs to rebalance their short-term debt ratios.

This paper contributes to deepening our understanding of how SMEs, facing financial risk, rebalance their short-term debt ratios. SMEs, facing high financial distress risk, adjust towards their target short-term debt ratios more rapidly. However, SMEs, distant from the target short-term debt ratio face higher transaction costs than financial distress costs. These firms adjust towards their target short-term debt ratios more slowly, which may aggravate the refinancing risk and, ultimately, announce bankruptcy.

This study aims to examine the implications of short-term and long-term reputation change because of government agency responses to firm product defects.

This study’s findings have important implications for both scholars and practitioners. From a scholarly perspective, the authors create a more fine-grained examination of reputation that may be used to assess various performance dimensions. From a practice perspective, managers must realize that reputation can be one of an organization’s most important resources as it meets each of the valuable, rare, inimitable and nonsubstitutable criteria associated with those resources capable of providing sustainable competitive advantage.

Analysis of 17,879 product recalls from 15 automobile manufacturers in the US suggests that firms with higher long-term reputations are more likely to face regulator sanctions when a reputation-damaging event happens. On the other hand, firms with higher short-term reputations are less likely to face sanctions in such circumstances. Finally, firms whose short-term reputation exceeds their long-term reputation are less likely to be sanctioned by regulators when reputation-damaging events occur.

There are several limitations that should be addressed. First, as our reputation measure is based on government investigations of potential defects, vehicles that have never been inspected are not included in the sample. Although this number is likely extremely low, omitting vehicles that have never been inspected leaves out some high-reputation firms from the sample. In addition, the study relies on a single-firm stakeholder that is capable of punitive actions.

From a practical perspective, this study’s findings encourage managers to think about the temporal aspects associated with firm reputation, and to realize that stakeholders may react differently when their expectations are not met depending on an organization’s relative long- and short-term reputations. From a theoretic perspective, the primary contribution of this study is to illustrate how long-term and short-term changes in reputation can provide mixed signals to firm stakeholders regarding future performance.

This study explores the temporal aspects of firm reputation by examining how government sanctions vary depending on firms’ long-term (10 years) and short-term (1 year) reputation. The findings of this study contribute to current reputation research by illustrating the variation in government responses to product defects as a function of short-term and long-term reputation. In doing so, the important role of the timing of firm performance is considered.

In theory, the impact of debt liquidity risk (DLR) on the firm's future growth is ambiguous. This study aims to examine the empirical relationship between the DLR and firms' growth rate using annual data for USA companies from 1976 to 2020.

Given the longitudinal nature of the data, the author uses OLS (ordinary least squares) regression methodology with fixed effects to control for unobserved characteristics that might affect the dependent variable. Instrument variable regression is also used to address the potential endogeneity problem.

The results show that firms having higher DLR, as proxied by more short-term debt, experience lower growth rate. An increase in firms' short-term debt decreases the firms' future growth rate as evidenced by lower assets, revenue and employee growth rate. Moreover, the authors' results show that small firms or firms with more investment opportunities grow fast if the firms take higher DLR. Finally, cyclical firms with higher DLR exhibit lower growth rate during the credit tighten period. The authors' results hold for both the pre-zero lower bound (ZLB) era and ZLB period.

To the authors' best knowledge, this is one of the earliest studies to carefully examine the effects of DLR on firms' growth rate. While prior research finds that firms with higher growth potential, measured by market-to-book (MTB) ratio, use more short-term debt, the authors' research directly addresses whether DLR affects firms' future growth rate. The authors’ findings also help explain why firms with high growth potential use more short-term debt.

This study tests the relationship between financial leverage and a firm's operational and financial short term responses to poor performance, based on Jensen's (1989) argument that higher predistress leverage increases a firm's incentive to respond more quickly to poor performance. This research is conducted on a sample of 45 poorly performing New Zealand firms between 1985 and 1994. The results indicate that higher leverage increases the probability of firms taking action in the short term. In particular, the evidence suggests that the probability of asset sales is positively associated with long‐term leverage, in addition to its relationship with the firm's stock return. Increased probability of management replacement is related to higher levels of short‐term leverage and surprisingly, the probability of dividend cuts decrease with higher levels of total and short‐term leverage. Poorly performing firms with higher leverage also appear to cut asset levels and dividends more aggressively than those with lower leverage levels.

Existing supply chain (SC) performance models are not able to cope with the potential of intensive SC digitalisation and establish a relationship between decisions and decision criteria. The purpose of this paper is to develop an integrated knowledge-based system (KBS) that creates a link between decisions and decision criteria (attributes) and evaluates the overall SC performance.

The proposed KBS is grounded on the fuzzy analytic hierarchy process (fuzzy AHP), which establishes a relationship between short-term and long-term decisions and SC performance criteria (short-term and long-term) for accurate and integrated Overall SC performance evaluation.

The proposed KBS evaluates the overall SC performance, establishes a relationship between decisions (long-term and short-term) and decision criteria of SC functions and provides decision makers with a view of the impact of their short-term or long-term decisions on overall SC performance. The proposed system was implemented in a case company where the authors were able to develop a SC performance monitoring dashboard for the company’s top managers and operational managers.

The proposed KBS assists organisations and decision makers in evaluating their overall SC performance and helps in identifying underperforming SC functions and their associated criteria. It may also be considered as a tool for benchmarking SC performance against competitors. It can efficiently point to improvement directions and help decision makers improve overall SC performance.

The proposed KBS provides a holistic and integrated approach, establishes a relationship between decisions and decision criteria and evaluates overall SC performance, which is one of the main limitations in existing supply chain performance measurement systems.

The purpose of this paper is to find out how much the purchasing and lending of individual electronic books really cost. Additionally, this paper investigates which kind of approach would be cheaper and less time-consuming for library staff as well as library patrons – purchase or short-term loan.

This study was conducted at the Tallinn University of Technology (TalTech) Library. This is the only university library in Estonia where the Ebook Central platform is adapted on a large scale. For background information, all statistical data of expenditures and average prices of purchases and short-term loans during April 2013 and December 2018 were calculated and analysed. Through a case study, the time-driven activity-based costing (TDABC) method was used – all activities related to acquisition and lending of eBooks were identified, recorded in detail and analysed. More specifically, the study concerned eBooks offered in the Ebook Central platform and covered purchasing and short-term loan processes, such as receipt of order request, communication with the patron (if necessary) making a purchase or short-term loan, and feedback to the patron.

While analysing the results, it appeared there are many additional activities libraries can avoid during the eBook short-term loan process compared to purchasing. As a normality in TalTech library, purchase is always followed by a cataloguing process which increases the time and cost of this process in turn. On the basis of the current study, it can be said that short-term loan is a cheaper way to use eBooks; many activities related to the short-term loan of eBooks take remarkably less staff time and financial resources than eBooks acquisition/purchasing activities. When analysing the literature reviewed as well as collected statistical data, the problem may arise when the decision-maker librarian is not experienced, professional or long-sighted enough to understand the future behaviour of the patron or the usage of the specific eBook. When the usage reaches a certain point, it becomes an indicator of continuing future usage and so it makes sense to purchase the eBook, as the library pays no further charges once an eBook is owned.

Most studies reviewed by the author are based on the statistical data collected about expenditure, costs, usage, cost-per-use, etc. of short-term loans and purchases. While acquisitions costs, average cost per acquired item per year and cost per usage are easy to identify, it has been difficult to measure associated costs of acquisition, cataloging and circulation. The TDABC methodology seems to be one of the best tools for understanding cost behaviour and refining a cost system for university libraries. Based on the information known to the author, there is no study carried out using the TDABC methodology for analysing costs of eBook programmes.

Short-term rental option enabled via accommodation sharing platforms is an attractive alternative to conventional long-term rental. The purpose of this study is to compare rental strategies (short-term vs long-term) and explore the main determinants for strategy selection.

Using logistic regression, this study predicts the rental strategy with the highest rate of return for a given property in the City of Philadelphia. The modeling result is then compared with the applied machine learning methods, including random forest, k-nearest neighbor, support vector machine, naïve Bayes and neural networks. The best model is finally selected based on different performance metrics that determine the prediction strength of underlying models.

By analyzing 2,163 properties, the results show that properties with more bedrooms, closer to the historic attractions, in neighborhoods with lower minority rates and higher nightlife vibe are more likely to have a higher return if they are rented out through short-term rental contract. Additionally, the property location is found out to have a significant impact on the selection of the rental strategy, which emphasizes the widely known term of “location, location, location” in the real estate market.

The findings of this study contribute to the literature by determining the neighborhood and property characteristics that make a property more suitable for the short-term rental vs the long-term one. This contribution is extremely important as it facilitates differentiating the short-term rentals from the long-term rentals and would help better understanding the supply-side in the sharing economy-based accommodation market.

The authors point out that the existing research confuses the operational liabilities formed based on the “transaction” relationship with the financial liabilities formed based on the “investment” relationship, which not only exaggerates the value of leverage but also underestimates the level of protection that companies provide for creditors alone. That is, the confusion of concepts not only triggers the problem of leverage misestimate but also triggers the short-term financial risk misestimate. The performance of “nominal leverage” and “nominal short-term solvency” based on total assets calculation cannot reflect the real leverage level and the real short-term financial risk of enterprises.

To distinguish the concepts of “assets” and “capital” and rationalize the relationship between “transactions” and “investments”, authors systematically design the “real leverage” indicators and “real short-term solvency” indicators, and measure the degree of misestimate of leverage and short-term financial risk indicators by traditional research. On this basis, this paper describes and analyses the trends of leveraged misestimate and short-term financial risk misestimate of listed companies in China and analyses which companies have more serious leverage misestimate. And it helps readers to form an objective understanding of the leveraged misestimate and short-term financial risk misestimate of listed companies in China.

Firstly, the overall high level of leverage of listed companies in China in the traditional sense is largely because of the misestimate of indicators. And this kind of misestimate is more serious among firms that have advantages in trading, such as state-owned enterprises and firms with higher market shares. Secondly, for most firms with normal solvency, traditional research systematically overestimated the negative impact of “nominal leverage” on financial risk indicators (represented by short-term solvency). The overestimation is significant in firms with serious leverage misestimate. Thirdly, indicators’ misestimate of the traditional research makes the banks cannot make effective credit decisions according to the firm's “real leverage” and “real short-term solvency”.

Firstly, clarify the differences between the concepts of “assets” and “capital”, and clarify the level of “real leverage” of listed companies in China, which is conducive to the process of “de-leveraging”. Secondly, revise the problem of misestimate of related indicators, so that financial institutions can clearly identify the true profitability and real risk level of the entity domain, and thus improve the effectiveness of credit decisions.

The purpose of this paper is to propose a short-term renters’ preference profile for peer-to-peer (P2P) accommodation selection in the housing market in Kuala Lumpur, Malaysia. The emergence of P2P accommodation was initiated by the concept of a sharing economy, allowing the peer provider to share personal properties with the peer end-users. As the housing market has become more competitive, understanding the preference profile among short-term renters is advantageous to offer a matching marketing mix to the targeted customers.

This study uses qualitative method associated with thematic analysis. A total of 10,509 reviews on Airbnb were gathered from 377 properties in Kuala Lumpur Federal Territory from 2013 to 2017. Thematic analysis assisted by NVivo software was applied to analyse the empirical data. In total, 14 attributes were identified which could be categorised into 5Ps. The concept of 5Ps adopted from modern marketing is commonly used to categorise the strategies in the marketing process. In the current context, 5Ps is used to categorise the preference of the short-term renter in their selection of P2P accommodation including product, price, promotion, process and people.

This paper has developed a preference profile for P2P accommodation selection in Malaysia’s housing market. In total, 14 attributes were identified and categorised into the 5Ps of marketing mix. The results showed that the majority of short-term renters were concerned mostly with product (73.2 per cent), followed by people (14.5 per cent), process (10.1 per cent), price (2.0 per cent) and promotion (0.2 per cent).

This study contributes to existing literature with a novel case in Malaysia’s housing market by identifying the short-term renter’s preference in the P2P accommodation selection in the Malaysian housing market, specifically in Kuala Lumpur. The preference profile provides guidance for property owners and developers in the housing market to offer the right product in enhancing the marketability and rentability of the property.