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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 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.

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.

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

Cloud computing (CC) refers to the usage of virtualization technology to share computing resources through the internet. Task scheduling (TS) is used to assign computational resources to requests that have a high volume of pending processing. CC relies on load balancing to ensure that resources like servers and virtual machines (VMs) running on real servers share the same amount of load. VMs are an important part of virtualization, where physical servers are transformed into VM and act as physical servers during the process. It is possible that a user’s request or data transmission in a cloud data centre may be the reason for the VM to be under or overloaded with data.

VMs are an important part of virtualization, where physical servers are transformed into VM and act as physical servers during the process. It is possible that a user’s request or data transmission in a cloud data centre may be the reason for the VM to be under or overloaded with data. With a large number of VM or jobs, this method has a long makespan and is very difficult. A new idea to cloud loads without decreasing implementation time or resource consumption is therefore encouraged. Equilibrium optimization is used to cluster the VM into underloaded and overloaded VMs initially in this research. Underloading VMs is used to improve load balance and resource utilization in the second stage. The hybrid algorithm of BAT and the artificial bee colony (ABC) helps with TS using a multi-objective-based system. The VM manager performs VM migration decisions to provide load balance among physical machines (PMs). When a PM is overburdened and another PM is underburdened, the decision to migrate VMs is made based on the appropriate conditions. Balanced load and reduced energy usage in PMs are achieved in the former case. Manta ray foraging (MRF) is used to migrate VMs, and its decisions are based on a variety of factors.

The proposed approach provides the best possible scheduling for both VMs and PMs. To complete the task, improved whale optimization algorithm for Cloud TS has 42 s of completion time, enhanced multi-verse optimizer has 48 s, hybrid electro search with a genetic algorithm has 50 s, adaptive benefit factor-based symbiotic organisms search has 38 s and, finally, the proposed model has 30 s, which shows better performance of the proposed model.

User’s request or data transmission in a cloud data centre may cause the VMs to be under or overloaded with data. To identify the load on VM, initially EQ algorithm is used for clustering process. To figure out how well the proposed method works when the system is very busy by implementing hybrid algorithm called BAT–ABC. After the TS process, VM migration is occurred at the final stage, where optimal VM is identified by using MRF algorithm. The experimental analysis is carried out by using various metrics such as execution time, transmission time, makespan for various iterations, resource utilization and load fairness. With its system load, the metric gives load fairness. How load fairness is worked out depends on how long each task takes to do. It has been added that a cloud system may be able to achieve more load fairness if tasks take less time to finish.

By 1st November 1984 all union membership agreements (whether written statements or informal agreements) to afford an employer a defence under sec. 58(3) of the Employment Protection (Consolidation) Act 1978 (EPCA) to a dismissal otherwise unfair under sec. 58(1)(c) EPCA will require to be approved by a ballot of the class of employees to which the union membership agreement (UMA) related. To assist employers and trade union members in this balloting process the Secretary of State for Employment has revised the Code of Practice on Closed Shop Agreements and Arrangements.

Scientific collaborations represent informal external ties that together with formal R&D alliances constitute a multichannel knowledge sourcing network in science-based industries. Although such multichannel knowledge sourcing benefits firms by providing more thorough access to external sources, it also entails potentially significant redundancies worthy of consideration. This paper aims to take a step by first verifying their existence, followed by an examination of key contingencies determining the extent of these redundancies, i.e. firm absorptive capacity, balanced utilization of ties and firm size.

This is an empirical study that uses scientific collaborations and R&D alliances of US pharmaceutical companies to test the proposed hypotheses.

This paper verifies the existence of multichannel knowledge sourcing redundancies, followed by an examination of key contingencies determining the extent of these redundancies, i.e. firm absorptive capacity, balanced utilization of ties and firm size.

To the knowledge, this is a first attempt at clarifying redundancies in innovative knowledge sourcing and their implications for firm innovation performance.

Las colaboraciones científicas representan vínculos externos informales que, junto con las alianzas formales de I + D, constituyen una red de abastecimiento de conocimiento multicanal en industrias basadas en la ciencia. Aunque esta fuente de conocimiento multicanal beneficia a las empresas al proporcionar un acceso más completo a fuentes externas, también implica impotantes potencailes redundancias que merecen consideración. Dichas redundancias tienen su origen en conocimientos específicos que se superponen y en los requisitos de recursos clave similares, incluido el presupuesto y prsonal de investigación. A pesar de su importancia, la literatura no ha ofrecido una descripción completa de las posibles causas y contingencias de estas redundancias. El presente estudio da un paso en esta dirección al verificar primero su existencia, seguido de un estudio de las contingencias clave que determinan el alcance de estas redundancias.

este es un artículo empírico que utiliza el contexto de la industria farmacéutica para probar la interacción entre las colaboraciones científicas y las alianzas de I + D como impulsores del desempeño de innovación de una empresa farmacéutica que se manifiesta en la productividad de sus patentes.

El análisis empírico revela que el efecto de las colaboraciones científicas y las alianzas de I + D es de hecho parcialmente sustitutivo o redundante, y que dicha redundancia es mayor para las empresas con baja capacidad de absorción, utilización desequilibrada de los dos tipos de vínculos externos y su tamaño.

Este es uno de los primeros intentos empíricos de explorar los efectos sustitutivos de las colaboraciones científicas y las alianzas de I + D a nivel de empresa. La incorporación de contingencias clave como la capacidad de absorción, la utilización equilibrada de las relaciones y el tamaño de la empresa mejoran aún más la novedad y originalidad de nuestra investigación.

Colaborações científicas representam links externos informais que, juntamente com alianças formais de P&D, constituem uma rede de fornecimento de conhecimento multicanal em indústrias baseadas na ciência. Embora essa fonte multicanal de conhecimento beneficie as empresas ao fornecer um acesso mais completo a fontes externas, ela também envolve redundâncias potenciais significativas que merecem consideração. Essas redundâncias resultam da sobreposição de conhecimentos específicos e requisitos de recursos chave semelhantes, incluindo orçamento e pessoal de pesquisa. Apesar de sua importância, a literatura não fornece uma descrição completa das possíveis causas e contingências dessas redundâncias. O presente estudo dá um passo nessa direção, primeiro verificando sua existência, seguido por um estudo das contingências-chave que determinam a extensão dessas redundâncias.

Este é um artigo empírico que usa o contexto da indústria farmacêutica para testar a interação entre colaborações científicas e alianças de P&D como impulsionadores do desempenho inovador de uma empresa farmacêutica manifestada na produtividade de suas patentes.

A análise empírica revela que o efeito das colaborações científicas e alianças de P&D é de fato parcialmente substituto ou redundante, e que a referida redundância é maior para empresas com baixa capacidade de absorção, utilização desequilibrada dos dois tipos de links externos e seu tamanho.

esta é uma das primeiras tentativas empíricas de explorar os efeitos substitutos de colaborações científicas e parcerias de P&D no nível da empresa. Incorporar contingências importantes, como capacidade de absorção, utilização equilibrada de relacionamentos e tamanho da empresa, aumenta ainda mais a novidade e originalidade de nossa pesquisa.