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This research aims to identify the factors that influence the investment intention of retail investors in Indian REITs. The study incorporates the theory of planned behavior and innovation diffusion theory as the research framework, with perceived risk and mass media influence as additional constructs.

Primary data were collected using self-administered questionnaires from 534 potential investors in India. The data were analyzed using partial least square structural equation modeling.

The study showed that factors such as relative advantage, compatibility, attitude, subjective norms, perceived behavioral control and mass media significantly and positively influence investment intention in Indian REITs. However, perceived risk was found to have a negative and significant influence, while complexity did not affect investment intention.

This is the first quantitative investigation into determining the factors influencing the investment intention of Indian retail investors on Indian REITs.

The present study delves into the causes of relatively lower retail participation in the Indian REIT market. Specifically, it investigates investors' attitudes and perceptions towards REITs as a unique asset class. This paper provides a comprehensive understanding of the perception and factors influencing Indian retail investors' reluctance to participate in the REIT market.

Qualitative research was conducted through semi-structured interviews to gather insights from non-investors in REITs. The data were transcribed and analyzed using content analysis techniques. Finally, coding techniques were used to identify broad study themes.

According to the study results, many retail investors are unfamiliar with REITs. Even among those knowledgeable about REITs and with a favorable view, it is not commonly seen as a feasible investment option due to its early stage, unattractive returns and limited number of REITs.

Developed countries have established REIT markets, while it is still in its infancy in developing countries such as India. Financial advisors, fund houses and the media should focus on educating investors to increase awareness.

The study is the first qualitative investigation into the perception of retail investors to understand the reasons for lower retail engagement in the Indian REIT market.

Introduction: Traditional recruitment system relied heavily on the applicants’ curriculum vitae (CV). This system, besides becoming redundant, has proved to be a futile exercise leading to the hiring of candidates that eventually turn out to be ‘misfits’. CVs were the only source of candidates’ data available for the recruiters a few years back. Face-to-face interviews was considered to be the ultimate solution for hiring suitable candidates. However, evidence suggests that interview scores and job performances do not complement each other. Advancement in artificial intelligence (AI) has introduced several techniques in the recruitment process.

Purpose: This chapter underscores the drawbacks of the traditional recruitment process. Evidence suggests that the traditional recruitment process is prone to subjectivity and is time-consuming. Surprisingly, despite the disadvantages, the integration of AI into the recruitment process is still slow. This chapter highlights the need to harness AI and the advantage technology could bring to the recruitment process. Some of the techniques that are garnering attention and widely used by organisations, such as chatbots, gamification, virtual employment interviews, and resume screening are described to enable the readers to understand with less effort. Chatbots and gamification techniques are described through process flow charts. We also describe the various types of interviews that could be conducted through virtual platforms and the modality by which the resume screening technique operates. Today, we are at a juncture wherein it is pertinent to acknowledge the superiority of technology-driven processes over traditional ones. This chapter will help the readers to understand the modus operandi to implement chatbots, gamification, virtual interviews and online resume screening techniques besides their advantages.

Scope: Although chatbots, resume screening, virtual interviews, and gamification are used in other areas, too, such as training and development, marketing, etc., in this chapter, we restrict solely to employee recruitment processes.

Methodology: Scoping review is used to examine the existing literature from various databases such as Google Scholar, IEEE, Proquest, Emerald, Elsevier, and JSTOR databases are used for extracting relevant articles.

Findings: Automation and analytics in recruitment and selection remove bias which is otherwise increasingly found in manual hiring processes. Also, previous studies have observed that candidates engage in impression management tactics in traditional face-to-face interviews. However, through automated recruitment processes, the influence of these tactics can be eliminated. AI-based virtual interviews reduce human bias. It also helps recruiters to hire talents across the globe. Gamification improves the candidate’s perception of the work and work environments. Through gamified techniques, the recruiters can understand whether a candidate possesses the required job skills. Chatbots are an interactive technique that can respond to interviewees’ queries. Resume screening techniques can save the recruiter’s time by screening and selecting the most appropriate candidates from a large pool. Hence, the chosen candidates alone can be referred to the next stage of the recruitment cycle. AI improves the efficiency of the recruitment process. It reduces mundane tasks. It saves time for the human resources (HR) team.

This study aims to examine the asymmetric S-curve between the trade balances of Pakistan and China at the commodity level using disaggregated data.

This study focuses on Pakistan and China bilateral trade based on commodity-level data. This study delves into the S-curve phenomena by examining time series data from 1980 to 2023 across 32 three-digit industries/commodities.

The findings show significant evidence in favor of the “asymmetric S-curve” in 27 out of the 32 industries studied. This study confirms that the devaluation of home currency is not a viable solution always to improve trade balance.

This study considers 32 three-digit industries limiting the generalizability of findings. Due to data unavailability, the authors fail to consider other industries. In the absence of quarterly data on industry-level trade between Pakistan and China, annual data from 1980 to 2023 were used in generating the cross-correlation functions. Previous literature frequently resorted to the general consumer price index with its inherent aggregation issues, whereas this study has opted for commodity price indices to overcome the shortcomings in the estimation of S-curves at the commodity level.

The findings have practical relevance in guiding policy decisions regarding commodity trade, whereas the industry-wise analysis enriches the understanding of the short-term effects of currency depreciation on trade balance dynamics.

The S-curve hypothesis predicts a negative cross-correlation between a country's current exchange rate and its past trade balance and a positive cross-correlation between the current exchange rate and its future trade balance. Previous empirical S-curve studies had the limitation of assuming symmetry in cross-correlation with both current and future trade balance values.

This study uses the unique setting of unusual market activity (UMA) replies to examine the market reaction and the effects of disclosure and investor protection amid information uncertainty.

A total of 1527 hand-collected UMA replies from the interlinked stock exchanges of Indonesia, Malaysia, Thailand and Singapore for the period of 2015–2017 were analysed using event study and Heckman two-step methods with market and matched control firm benchmarks.

The overall results support the uncertain information hypothesis. The UMA replies with new information were also found to reduce information uncertainty, but not information asymmetry, and they are complementary to investor protection in enhancing abnormal returns. The overall finding suggests that the UMA public query system can be an effective market intervention mechanism in improving information certainty and efficiency.

This study provides insight on the effects of news replies and investor protection on abnormal returns, and support for the uncertain information hypothesis. The finding is useful to policymakers and stock exchanges as they seek to understand how to alleviate investors' anxiety and to create an informationally efficient market. Nevertheless, this study is limited by the extensiveness of the hand-collected UMA replies and also the potential issue of simultaneity-induced endogeneity.

This study uses UMA replies and cross-country data taking into account the effects of market surroundings such as information uncertainty and the level of investor protection on market reaction.

This study aims to analyse the ethical implications associated with the development of artificial intelligence (AI) technologies and to examine the potential ethical ramifications of AI technologies.

This study undertakes a thorough examination of existing academic literature pertaining to the ethical considerations surrounding AI. Additionally, it conducts in-depth interviews with individuals to explore the potential benefits and drawbacks of AI technology operating as autonomous ethical agents. A total of 20 semi-structured interviews were conducted, and the data were transcribed using grounded theory methodology.

The study asserts the importance of fostering an ethical environment in the progress of AI and suggests potential avenues for further investigation in the field of AI ethics. The study finds privacy and security, bias and fairness, trust and reliability, transparency and human–AI interactions as major ethical concerns.

The implications of the study are far-reaching and span across various domains, including policy development, design of AI systems, establishment of trust, education and training, public awareness and further research. Notwithstanding the potential biases inherent in purposive sampling, the constantly evolving landscape of AI ethics and the challenge of extrapolating findings to all AI applications and contexts, limitations may still manifest.

The novelty of the study is attributed to its comprehensive methodology, which encompasses a wide range of stakeholder perspectives on the ethical implications of AI in the corporate sector. The ultimate goal is to promote the development of AI systems that exhibit responsibility, transparency and accountability.

Different pollutants emission due to the conventional energy consumption process is of major concern owed to its significant effect on human health vis-à-vis regional climate. The purpose of this paper is to develop mitigation strategies to reduce the pollutant concentrations in the rural households conducted in a pristine rural village of Indian Sunderban area.

During winter, 2014, 20 households which were using traditional biomass cookstove for cooking and kerosene-lamp for lighting (KIT-TRD) were randomly selected. Specific type of improved forced draft biomass cookstove and solar lantern were used in ten of the selected households (KIT-IMP). Real time concentrations of particulate matter (PM) (PM_2.5, PM₁₀) and carbon monoxide (CO) during day and evening time cooking period were measured in KIT-IMP and KIT-TRD. A simulation model was established to evaluate most potential factor to control the level of pollutants inside the kitchen.

Conventional processes of energy consumption in the households, along with the outdoor concentration of pollutants influence the indoor concentration of measured pollutants. The concentration of PM and CO was significantly lower in the KIT-IMP than the other. In the KIT-TRD households, the daytime concentration of PM and CO was significantly higher compared to the evening. The simulated output overestimated the concentration of PM10 and CO in the KIT-TRD.

The concentration of PM_2.5, PM₁₀ and CO significantly reduces in the indoor environment with the introduction of improved cookstove and solar lantern; however, further research is required to develop optimum sizes of window and door in the rural households to reduce the concentrations of different pollutants inside the kitchen.

Individuals’ intentional responses to declining job satisfaction have been associated with the EVLN model. Employees’ silence, as an independent construct, can be understood as an individual, intentional and deliberate decision to retain important information for the organization. The purpose of this paper is to analyze employees’ silence, which can be understood as a fifth individual response to job satisfaction declining, along with the remaining four responses proposed in the EVLN model. It is proposed as an extension to the original model through the introduction of employee silence; the model is referred to as the EVLNS model.

The present study is quantitative, hypothetical-deductive, correlational and transversal. The sample is composed of 756 professionals working in the higher education sector. The paper used structural equation modeling (SEM) analyses to test its hypotheses.

Results showed that employees’ silence has a dual factorial structure, which is composed of an adhesion dimension and a rejection dimension. The study also finds that these two dimensions can be integrated as an extension of the original EVLN model. It is found that, although they are related, these dimensions also capture a certain degree of independence, with different levels of influence of job satisfaction.

An important implication is that silence is a complex phenomenon, suggesting that this is more than the simple absence of voice and may have different motives. Additionally, it is important to emphasize that job satisfaction can contribute to different individual responses and managers must act accordingly.

The study contributes to a better understanding of the individuals’ potential responses to declining job satisfaction through the extension of the original EVLN model with the introduction of a fifth response – the employees’ silence.

As respostas intencionais dos indivíduos ao declínio da satisfação com o trabalho têm sido associadas ao Modelo EVLN. O silêncio dos colaboradores, enquanto construto independente de outros, pode ser entendido como uma decisão intencional e deliberada do indivíduo em reter informação importante para a organização. Pretende-se analisar medida o silêncio dos colaboradores pode ser entendido como uma resposta dos indivíduos ao declínio da satisfação com o trabalho, a par das restantes quatro estratégias propostas no Modelo EVLN. Propõe-se uma extensão ao modelo original através da introdução do silêncio denominando-se assim de modelo EVLNS.

O presente estudo caracteriza-se pela sua componente quantitativa, hipotético-dedutiva, correlacional e transversal. A amostra é construída 756 profissionais que atuam no sector do ensino superior. Os dados foram analisados fazendo recurso à técnica da modelagem por equações estruturais.

Os resultados demonstraram que o silêncio dos colaboradores apresenta uma estrutura fatorial dual, composta por uma dimensão de adesão e uma de rejeição e que estas duas dimensões correspondem à expansão do modelo original EVLN sobre as respostas deliberadas dos indivíduos ao declínio da satisfação. Verifica-se assim que estas respostas apresar de relacionadas apresentam um determinado grau de independência nomeadamente pelos diferentes graus de influência da satisfação com o trabalho.

Uma importante implicação deste estudo é o facto do silêncio ser um fenómeno complexo, sugerindo-se que este é mais que a simples ausência da voz e que pode ter diferentes motivos. Adicionalmente, destaca-se também a importância reforçar que a satisfação com o trabalho poderá contribuir para diferentes respostas dos indivíduos, devendo os gestores atuar em conformidade.

O estudo contribui com um melhor entendimento das potenciais respostas dos indivíduos ao declínio da satisfação, nomeadamente através da extensão do modelo original com a introdução de uma quinta estratégia – o silêncio dos colaboradores.

Silêncio dos colaboradores, Modelo EVLN, Voz, Saída, Lealdade, Satisfação com o Trabalho

Trabalho de investigação

Las respuestas intencionales de los individuos a la disminución de la satisfacción laboral se han asociado con el Modelo EVLN. El silencio de los empleados, como constructo independiente, puede entenderse como una decisión individual, intencional y deliberada de retener información importante para la organización. Nuestro objetivo es analizar el silencio de los empleados, que puede entenderse como una quinta respuesta individual a la disminución de la satisfacción laboral, junto con las cuatro respuestas restantes propuestas en el Modelo EVLN. Se propone como una extensión del modelo original a través de la introducción del silencio de los empleados; el modelo se conoce como el modelo EVLNS.

El presente estudio es cuantitativo, hipotético-deductivo, correlacional y transversal. La muestra está compuesta por 756 profesionales que trabajan en el sector de la educación superior. El artículo utilizó análisis de modelos de ecuaciones estructurales (SEM) para probar sus hipótesis.

los resultados mostraron que el silencio de los empleados tiene una estructura factorial dual, que se compone de una dimensión de adhesión y una dimensión de rechazo. El estudio también encuentra que estas dos dimensiones se pueden integrar como una extensión del modelo EVLN original. Se observa que, aunque están relacionadas, estas dimensiones poseen un cierto grado de independencia, con diferentes niveles de influencia de la satisfacción laboral.

una implicación importante es que el silencio es un fenómeno complejo, lo que sugiere que esto es más que la simple ausencia de voz y puede tener diferentes motivos. Además, es importante enfatizar que la satisfacción laboral puede contribuir a diferentes respuestas individuales y que los gerentes deben actuar en consecuencia.

el estudio contribuye a una mejor comprensión de las posibles respuestas de los individuos a la disminución de la satisfacción en el trabajo mediante la extensión del modelo EVLN original con la introducción de una quinta respuesta: el silencio de los empleados.

Silencio de los empleados, Modelo EVLN, Voz, Salida, Lealtad, Satisfacción laboral

Trabajo de investigacion