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The purpose of this paper is to contribute to the discourse on labour market discrimination by introducing an analytical process model that offers a template for the systematic analysis of discrimination within the process of labour market integration. Its usage and contribution to the field is exemplified by applying the proposed model to the case of ageism in labour market integration.

Five phases and four actors are distinguished that, added together, compose the proposed analytical process model. In the following, the model is used as an analytical framework for a mapping review, aimed at identifying and critically evaluating the vast and extensive literature on ageism in the process of labour market integration.

The paper concludes that ageism occurs in all five phases of the integration process, pinpointing potential areas for policy interventions. Furthermore, the authors conclude that the existing literature on ageism in labour market integration is fragmented, with some elements and/or actors within the process so far having received little attention.

The analytical process model developed in this paper provides the scientific community with a tool to systematise the literature, detect underlying mechanisms and uncover existing research gaps, not only for the case of ageism presented here, but for a vast variety of other –isms. In addition, policy makers, trade unions and employers can use the model to better target and tailor anti-discrimination measures in labour market integration.

The purpose of this paper is to examine the impact of an economic recession on human resource information systems (HRIS) investment decisions by asking: Are there high levels of disinvestment in HRIS during a recession? Are there low levels of trust and confidence in HRIS during a recession? Could there be an absence of concerted commitment in leveraging technology, even in the face of an economic crunch?

An HRIS impact questionnaire was used, targeting human resource and financial managers. The data obtained were analyzed using Statistical Programme for Social Sciences (SPSS).

The findings suggest that while a recession is acknowledged, the continued use of HRIS is not considered a risk factor that warrants cost cutting.

This is an original study. It will add value by indicating to management the significance of strategic decision making. The study also points out the need for further research in order to make more sense of certain variables.

The technological innovation of Software as a Service-Enterprise Resource Planning (SaaS-ERP) opens several relative advantages, which may be realized by choosing the proper operation mode. Thus a company looking for a new ERP system faces the question: When and under what conditions does it make sense to choose a SaaS-ERP system? The paper aims to discuss these issues.

The relative advantage criterion of the diffusion of innovation theory, derived as operation mode differences, determine the conditions under which SaaS- or On-Premise-ERP is preferable: a classification of all main systemic operation mode differences between SaaS and On-Premise for the more complex ERP systems is presented. The systemic differences were identified by analytic generalization using triangulation between a literature review and a multiple case study with four ERP producers.

The most significant decision factors between ERP operation modes are flexibility, customization, cost, and operation and maintenance. General strategies have been derived by bringing the theoretical reasons together with the operation mode difference criteria. Typical criteria for selecting SaaS-ERP are a lack of IT-capacity or capabilities, as well as high need for flexibility, due to business development, seasonality, growth, collaboration and/or expansion. On-Premise-ERPs should be selected if specific or strategic resources would be outsourced or when major customization is a need.

Case research is limited in that it reveals only ERP producers’ view and omits outlying cases.

The findings implicate that ERP selecting customers should consider and expand their criteria for ERP selection by operation mode criteria.

The classification of the most essential operation mode differences allows, for the first time, ERP selecting customers to design selection strategies. ERP selecting companies should strategically favor the operation mode that best suits their respective organizational characteristics so as to obtain the best possible support from the ERP operation modes.

This paper breaks through the limitations of the research on bullwhip effect in the traditional supply chain, extends the research perspective to digital supply chain and discusses the weakening effect of digital supply chain on bullwhip effect by comparing the overall performance of the two.

This paper starts with the weakening mechanism of supply chain digitization on bullwhip effect, builds bullwhip effect models of traditional supply chain and digital supply chain, respectively, simulates the influence of supply chain digitization transformation on bullwhip effect by using Matlab software and analyzes the causes of bullwhip effect in supply chain led by T company and the digitization process.

Firstly, digitization can reduce bullwhip effect in multi-level supply chain by reducing information feedback deviation. Second, digital transformation is conducive to improving the overall performance of the supply chain. Third, government incentives can promote the digital transformation of supply chain and inhibit bullwhip effect.

Although the study considers the heterogeneous subject -- the government's incentive effect on digital transformation and information sharing – it does not include the influence of the end node in the supply chain, that is the consumer. In addition, this paper only analyzes and discusses the bullwhip effect on the amplification of demand, without considering the situation that the market contraction will lead to the reduction of demand.

This paper considers the distortion degree and delay degree of information feedback, carries out quantitative analysis of bullwhip effect, builds the bullwhip effect model of traditional supply chain and digital supply chain, uses Matlab software to analyze the difference of the influence of supply chain digital transformation on bullwhip effect suppression and puts forward the corresponding control strategy.

The research shows that digital transformation can reduce the bullwhip effect in multi-layer supply chain by reducing the information feedback deviation, which is conducive to improving the overall supply chain performance, and government support can accelerate the digital transformation of supply chain to a certain extent.

First, break through the limitations of traditional supply chain research, expand the research perspective to digital supply chain and discuss the weakening effect of digital supply chain on bullwhip effect by comparing the overall performance of the two. Second, quantify the bullwhip effect through information feedback bias and provide an analysis method for the weakening of the bullwhip effect. Third, the driving role of the government in the digital transformation of the supply chain is considered in the study, so that the model is more close to the actual situation of enterprise operation.

Introduction Corruption is like the slow rotting of a dead body says a modern author. Unsatisfied with a “rotten body” analogy, one may want a non‐moralist definition of corruption. The subject of corruption and bribing has been treated in several theoretical essays but few empirical studies. Corruption has attracted the interest of sociologists, anthropologists, economists and political scientists. Drawing upon some of this corruption literature this paper aims at discussing corruption from a “narrow” marketing perspective. What makes a marketer corrupt? Are the consequences of “discovery” a deterrent? What uncertainties are there in corruption practice? Those are the pragmatic questions we will set out to discuss.

The paper aims to show the existence of the systemic yoyo structure in human thoughts so that the human way of thinking is proven to have the same structure as that of the material world.

Parallel comparison is used to reveal the underlying structure existing in human thoughts.

After highlighting all the relevant ideas and concepts, which are behind each and every crisis in the foundations of mathematics, it becomes clear that some difficulties in the authors' understanding of nature are originated from confusing actual infinities with potential infinities, and vice versa. By pointing out the similarities and differences between these two kinds of infinities, then some hidden contradictions existing in the system of modern mathematics are handily picked out. Then, theoretically, using the authors' yoyo model, it is predicted that the fourth crisis in the foundations of mathematics has appeared. And, a plan of resolution of this new crisis is provided.

This paper shows the first time in history that human thought, the material world, and each economic entity, share a common structure – the systemic yoyo structure. And it proves the arrival of the fourth crisis in mathematics by using systems modeling and listing several; contradictions hidden deeply in the foundations of mathematics.

A major problem in environmental economics is to estimate the monetary value of non-market goods. This is especially relevant for environmental goods. To assess their non-use value, different approaches have been used measuring stated and revealed preferences. However, both methodologies are associated with criticism. The purpose of this paper is to propose a new method to estimate non-use values of environmental goods, i.e., to calculate revealed preferences in crowdfunded projects.

Since millions of individuals invest in various crowdfunded projects, the willingness to pay (WTP) can be robustly derived for any kind of project. Here, data on 19 projects on three endangered species are collected from various crowdfunding platforms.

With the new method introduced to estimate the monetary value of non-market goods, the WTP could be determined for a number of projects. Across projects, the average WTP per person is $42 for dolphins, $45 for falcons and $38 for butterflies. This new approach is validated by comparing these values to a meta-analysis of contingent valuation studies reporting on average $42 for dolphins, $37 for falcons and $24 for butterflies.

The limitation of this study is the small number of projects which are for demonstration only.

Validating this method by a comparison with a meta-analysis of contingent valuation shows that estimating WTP via crowdfunding may serve as a new instrument. Given the large number of subjects and diversity of projects in crowdfunding, a robust WTP could be derived for many topics in the future.

A new method to estimate the monetary value of non-market goods is introduced. Estimating the WTP via crowdfunded projects makes it possible to measure revealed preferences for a large variety of environmental and other projects.

The purpose of this paper is to examine the existence of the day-of-the-week effect in the Indian stock market.

Generalized Autoregressive Conditional Heteroskedasticity (GARCH) (1, 1), Exponential GARCH (EGARCH) (1, 1) and Threshold GARCH (TGARCH) (1, 1) models are employed to examine the day-of-the-week effect in the Indian stock market for the period of 28 years from 3rd July, 1990 to 31st March, 2022.

The empirical results derived from the GARCH models indicate the existence of day-of-the-week effects on stock returns and volatility of the Indian stock market. The study reveals that all the days of the week are positive and significant in National Stock Exchange (NSE)-Nifty market returns. The findings confirm the persistence of ARCH and GARCH effects in the daily return series. Moreover, the asymmetric GARCH models show that the daily stock returns exhibit significant asymmetric (leverage) effects.

The results of this study established that the Indian stock market is not efficient and there exists an opportunity to the traders for predicting the future prices and earning abnormal profits in the Indian stock market. The findings of the study are important for traders, investors and portfolio managers to earn abnormal returns by cross-border diversification.

First, to the best of the authors' knowledge, this paper is the first to study the day-of-the-week effect in Indian stock market considering the most recent and longer time period (1990–2022). Second, unlike previous research, this study used GARCH models (GARCH, EGARCH and TGARCH) to capture the volatility clustering in the data.