Search results

The purpose of this paper is to measure the effectiveness of the integration of Europe by benchmarking economic progress made by the participating nations.

Using data envelopment analysis, this paper compares the relative performance of 26 European Union (EU) nations against one another with seven economic variables as the benchmark parameters from 1999 to 2006.

The paper finds that not all the participating nations were equally efficient at the beginning of the economic integration in 1999. Economic integration does help in achieving convergence in economic performance of 26 EU nations, because 18 of the 26 nations were efficient in 2002. However, this paper finds that after 2002, there is a lack of convergence in the performance of 26 EU nations and some nations have performed more efficiently in contrast to other nations.

The paper identifies the member nations that are lagging behind and make recommendations as to how they can improve their performance to bring them at par with other participating nations.

The purpose of this paper is to appraise Pai and Chary’s (2016) conceptual framework for measuring patient-perceived hospital service quality (HSQ).

A structured questionnaire was used to obtain data from teaching, public and corporate hospital patients. Several tests were conducted to assess the instrument’s reliability and validity. Pai and Chary’s (2016) nine dimensions for measuring HSQ were examined in this paper.

The tests confirm that Pai and Chary’s (2016) conceptual framework is reliable and valid. The study also establishes that the nine dimensions measure HSQ.

The framework empowers managers to assess service quality in any hospital settings, corporate, public and teaching, using an approach that is superior to the existing HSQ scales.

This paper helps researchers and practitioners to assess HSQ from patient perspectives in any hospital setting.

Digital India, the flagship programme of Government of India (GoI) originated from National e-Governance Project (NeGP) in the year 2014. The programme has important aspect of information security and implementation of IT policy which supports e-Governance in a focused approach of Mission Mode. In this context, there is a need to assess situation of the programme which covers a study of initiatives and actions taken by various actor involved and processes which are responsible for overall e-Governance. Therefore, the purpose of this case study is to develop a Situation-Actor-Process (SAP), Learning-Action-Performance (LAP) based inquiry model to synthesize situation of information security governance, IT policy and overall e-Governance.

In this case study both systematic inquiry and matrices based SAP-LAP models are developed. Actors are classified who are found responsible and engaged in IT policy framing, infrastructure development and also in e-Governance implementation. Based on a synthesis of SAP components, various LAP elements were then synthesized then which further led to learning from the case study. Suitable actions and performance have also been highlighted, followed by a statement of the impact of the efficacy i.e. transformation of information security, policy and e-Governance on the Digital India programme.

On developing the SAP-LAP framework, it was found that actors like the Ministry of Electronics and Information Technology of the Govt. of India secures a higher rank in implementing various initiatives and central sector schemes to accelerate the agenda of e-Governance. Actions of other preferred actors include more investments in IT infrastructure, policy development and a mechanism to address cyber security threats for effective implementation of e-Governance. It was found that actors should be pro-active on enhancing technical skills, capacity building and imparting education related to ICT applications and e-Governance. Decision making should be based on the sustainable management practices of e-Governance projects implementation to manage change, policy making and the governmental process of the Indian administration and also to achieve Sustainable Development Goals by the Indian economy.

The SAP-LAP synthesis is used to develop the case study. However, few other qualitative and quantitative multi criteria decision making approaches could also be explored for the development of IT security based e-Governance framework in the Indian context.

The synthesis of SAP leads to LAP components which can bridge the gaps between information security, IT policy governance and e-Governance process. Based on the learning from the Situation, it is said that the case study can provide decision making support and has impact on the e-Governance process i.e. may enhance awareness about e-services available to the general public. Such work is required to assess the transparency and accountability on the Government.

Learning based on the SAP-LAP framework could provide decision making support to the administrators, policy makers and IT sector stakeholders. Thus, the case study would further help in addressing the research gaps, accelerating e-Governance initiatives and in capturing cyber threats.

The SAP-LAP model is found as an intuitive approach to analyze the present status of information security governance, IT policy and e-Governance in India in a single unitary model.

The purpose of this research paper is to assess e-governance efficacy in various sectors of India. The paper develops on Grey System Theory (GST) methodology and enlightens grey portions of e-governance in select sectors. Research study identifies few grey criteria which affect implementation of information and communication technology (ICT) applications to support sustainable e-governance. Such criteria are related to information security breaches, information technology (IT) policy implementation, investments and strategic advantages for the various sector developments.

Considering “information” as a sensitive element to security for administration and part of dark portion to Indian economy, GST-based COmplex PRroportional ASsessment (COPRAS-G) method is adopted to assess the e-governance efficacy. The method provides flexible multicriteria decision-making (MCDM) approach to assess e-governance in prioritizing the sector alternatives of future strategic development. Priority order of select sectors is estimated, and COPRAS-G method is used in the research study to support decision-making on e-governance. Study compares ten major gross domestic product-dependent sectors based on few grey criteria. These criteria are chosen based on authors’ perspective on this study and feedback received from government officials of district levels under the Digital India-training programme. To address the subjectivity that lies in e-governance grey areas of sector, criteria are also weighted using fuzzy scale. Later methodology-based results are presented to draw a strategic road map for strategic development of the country.

On applying COPRAS-G method to predict pessimistic, optimistic and realistic scenarios of e-governance implementation across the ten sectors, high priory order in realistic scenario of results shows that implementation of ICT applications for e-governance should be in the sectors such as environment, climate change and in the railways. Industrial sector is also ranked as the preferred one over the other sectors on the basis of e-governance efficacy assessment.

Here COPRAS-G method is used as MCDM techniques. However, few other MCDM techniques such as GRA, DRSA, VIKOR, SMAA, SWARA and SAW can be also explored to outrank various Indian sectors to deal with subjectivity in decision-making.

Implementation of ICT applications to support e-governance varies from sector to sector. ICT-based governance involves high degree of complexity in driving the operations for development of respective sectors. Therefore, government and policymakers need more flexibility to overcome present barriers of sector development. Such research can support decision-making where GST-based COPRAS-G method is able to capture and address the breaches of information security. Moreover, management concern for sector development has been presented on the basis of pessimistic, optimistic and realistic scenarios more precisely.

The results can provide guidance to the academicians, policymakers and public sectors highlighting various possible measures to handle the security breaches in multi-facet intention of sustainable development. The outcomes from MCDM framework can also help in drawing a rough trajectory of strategy, i.e. development of ICTs applications and e-governance process.

This paper can supplement and act as the support for decision-making in conflicting situations on different flexible scenarios. Moreover, such work can synergize conflicting ideas of decision makers, academics and various other stakeholders of the Indian IT sector.

The purpose of this paper is to analyze the relationship between the factors influencing investors sentiment and investment decision-making (DM) of the individual investors. This paper proposes a unique conceptual framework that incorporates the herding, market and awareness factors that are leading to investor sentiment (IS) and decision-making process of the individual investors.

This study has conducted a questionnaire-based survey to collect data from 875 individual investors through the convenience sampling method. Structural equation modeling was used to evaluate the relationship between factors, namely, market effect, herd behavior, media, social interaction and advocate recommendation that influences IS and DM.

The present study found that market effect and herding are the most significantly influencing factors of investors sentiment. Among the sources of awareness, the internet has the lowest influence when compared to media, social interaction and advocate recommendation.

This study will help individual investors to avoid the problems faced while making an investment decision. The study could help investors to select a suitable investment aid and avoid repeating expensive errors, which arise due to investors’ sentiment. It is recommended to increase the awareness regarding investors’ sentiment among individuals, so as to increase their understanding about the financial settings and to make them confident while investing. The present study also sheds light upon the behavior of Indian individual investors so that policymakers can take appropriate measures to provide the proper guidance. Policymakers can conduct awareness campaigns to increase investors’ knowledge on the market condition and to enhance proper investment DM among them.

To best of the authors’ knowledge, previous studies have focused on limited factors at a time. The present study has investigated how factors influencing investors sentiment, namely, market factors (MF), herding as well as awareness would influence investment DM among individual investors in India. The influence of these factors has never been studied simultaneously in the context of Indian individual investors’ DM.

The purpose of this paper is to determine whether individual investor sentiment and its factors influence investment decision-making behavior in the Indian stock market. The study contributes to the novel conceptual framework that integrates the impact of investor sentiment and outlines the role of its factors (herding, media factor, advocate recommendation and social interaction) during the investment decision-making process.

In this paper, data were collected using a structured questionnaire survey from Indian individual investors. It uses self-reported sources of information collected via a survey of individual investors and estimated the linkage via path modeling. The collected data were analyzed using partial least square structural equation modeling to examine the relationship between the construct, namely, herding, media, advocate recommendation and social interaction with investor sentiment and investment decision-making.

The study shows that herding, media factor, advocate recommendation and social interaction significantly and positively influence the investor sentiment. Among all the factors, social interaction has the lowest influence on investor sentiment. The study also reveals that investor sentiment has a positive impact on investment decision-making.

The study provides valuable insights for the individual investors, financial advisors, policymakers and other stakeholders. Knowledge of behavioral finance would enhance the decision-making capabilities of individual investors in the stock market. Thus, the study calls for the need to increase awareness among Indian investors about behavioral finance and its usefulness in investment decision-making. The paper also sheds light upon the influence of investor sentiment and its antecedents on investment decision-making. The study confirms that the investor relies on their sentiment while making investment decisions. Hence, the stakeholders in the stock market should focus on investor sentiment and other psychological aspects of individual investors as well.

There are very few studies that deal with the behavioral aspects of individual investors in an emerging market context. The study mainly focuses on the antecedent of investor sentiment and its influence on investment decision-making in the Indian stock market. To the best of authors’ knowledge, the present study unique nature that examines the impact of the antecedent of investor sentiment which was not explored in the Indian context and investment decision-making of individual investors.

This study aims to explore the impact of organizational climates on constructive workplace deviance by examining staff attitudes to four dimensions of institutional climate: academic; administrative; developmental; and financial. Though carried out with exclusively academic staff working in university environments, it has considerable potential as a pilot for adaptation to the needs of managers and carers working with intellectually challenged offenders and their families.

Data from a purposive (non-probability) sample of 357 academicians used in technical education in public or private organizations were collected electronically using a Likert-type questionnaire. Analytic techniques used in this study include measurement model assessment and structural equation modeling.

Respondents indicated that institutional climate significantly influences employees in how they exhibit constructive deviance in their workplace behavior. Practices such as whistle blowing, prosocial rule-breaking and openly expressing their concerns are common symptoms exhibited in constructive deviant behavior. An employee who is positively influenced by the organization’s climate would stand up against any policy or activity that could disrupt or harm the company’s operations and reputation. Results imply that, of the four climate variables analysed, financial climate has the most influence on positive deviance, followed by developmental and administrative climates, with academic climate having the least influence.

The current study’s target population is the academicians working as faculty members in the field of technical education, having multiple implications for the management of institutions. The findings of the study emphasize the significance of their workplace policies and ethics. Given the indication that financial climate appeared to be the most influential of the dimensions under study, this would emphasize the need to develop an environment where there is no irrelevant discrimination in pay based solely on gender, caste or creed.

To the best of the authors’ knowledge, this study is the first attempt to understand and describe its four key elements together as contributory factors to constructive deviance in an organization.

The purpose of this paper is to investigate the role of actual and ideal congruity in predicting the repurchase intentions of young women in relation to inconspicuous fashion items.

The research focussed on a non-luxury intimate apparel brand, typical of daily use and private consumption. Regression analyses were conducted on a sample of 308 young female consumers to identify the effect of actual and ideal congruity in determining repurchase intentions. A cluster analysis based on actual self-concept was employed to develop a typology for consumers.

Unexpectedly, the findings revealed that ideal congruity is a stronger predictor of repurchase intentions than actual congruity. Further, based on actual self-concept, three profiles of young women emerged: active romantics, self-assureds and reliables. The clusters differed in relation to perceptions of brand personality and the effect of self-congruity on repurchase intentions.

This study was conducted using participants from one university in Northern Italy. Thus, the main limitations of this study relate to sample size and selection. Additionally, this study only investigated the perceptions of young women.

This study suggests that non-luxury intimate apparel items, typical of daily use, are not merely functional purchases, but reflect young women’s self-expression motives. Accordingly, fashion marketers should focus on consumers’ ideal self-concepts to develop effective promotion strategies. Further, specific dimensions of brand personality should be considered in relation to the different clusters.

This study shows that repurchase intentions towards inconspicuous non-luxury fashion items are explained more by self-esteem motives (i.e. ideal congruity) than self-consistency motives (i.e. actual congruity).

Despite significant investment in e-procurement by many organisations, perceived failings in the quality of such technologies and of the support provided to use them – termed here e-procurement quality – continue to generate resistance from internal customers who must assimilate e-procurement into their daily routines. Hence, the purpose of this paper is to advance the understanding of e-procurement quality from an internal customer perspective and to develop, refine, and validate construct measures.

Research was undertaken in the UK and the Netherlands incorporating a literature review, a qualitative study with 58 interviews, a quantitative study with 274 survey respondents, and a replication study with 154 survey respondents.

Analysis reveals that e-procurement quality comprises five universally applicable dimensions: processing, content, usability, professionalism, and training. A sixth dimension, specification, appears to be applicable, but context specific.

The study represents one of the most extensive investigations of e-procurement quality to date and is the first to examine its underlying dimensional structure. The multi-item scales developed and validated using a mixed-methods process are suitable for theory building and testing, as well as providing useful diagnostic value to practitioners.

The purpose of this paper is to develop a framework for benchmarking the service quality of amusement parks.

A hybrid approach, which is a combination of AHP (analytic hierarchy process) and TOPSIS (Technique for Order Preference by Similarity to Ideal Solution), is applied for service quality benchmarking.

Amusement parks are centers of attraction at various tourist destinations across the world. Their service quality is constituted by the attainment of certain quality attributes that varies with different parks. For sustaining in the industry, the managers of the parks need to have a good overview of the practices followed by them and their competitors that necessitate benchmarking of the service quality.

The developed framework using the hybrid methodology of AHP and TOPSIS can be applied for comparing different amusement parks based on quality attributes, which will help the organizers in improving their service quality.

The paper identifies various service quality attributes of amusement parks and an evaluation scheme for those attributes had been developed. Based on these, a framework had been developed for benchmarking of service quality of different amusement parks.