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The purpose of this paper is to examine the purchase behavior of consumers towards green products by adapting and extending the theory of planned behavior with the inclusion of three pertinent environmental factors posited to reflect environmental consciousness in the form of environmental concern, environmental knowledge and environmental values.

The data was collected from 410 consumers at shopping malls with retail stores selling green and non-green products in a developing country using cluster sampling and analyzed using covariance-based structural equation modeling.

The findings of this study indicate that environmental factors reflecting environmental consciousness positively influence consumers’ attitude towards purchasing green products, wherein consumers’ environmental values have a stronger influence than their environmental concern and environmental knowledge. The findings also reveal that subjective norm, attitude and perceived behavioral control toward purchasing green products positively shape green purchase intention. The same positive effect is also witnessed between green purchase intention and behavior. However, perceived behavioral control towards purchasing green products had no significant influence on green purchase behavior.

This study suggests that green marketers should promote environmental consciousness among consumers to influence and shape their planned behavior towards green purchases. This could be done by prioritizing efforts and investments in inculcating environmental values, followed by enhancing environmental knowledge and finally inducing environmental concern among consumers. Green marketers can also leverage subjective norm and perceptions of behavioral control toward purchasing green products to reinforce green purchase intention, which, in turn, strengthens green purchase behavior. This green marketing strategy should also be useful to address the intention–behavior gap as seen through the null effect of perceived behavioral control on purchase behavior toward green products when this strategy is present.

This study contributes to theoretical generalizability by reaffirming the continued relevance of the theory of planned behavior in settings concerning the environment (e.g. green purchases), and theoretical extension by augmenting environmental concern, environmental knowledge and environmental values with the theory of planned behavior, resulting in an environmentally conscious theory of planned behavior. The latter is significant and noteworthy, as this study broadens the conceptualization and operationalization of environmental consciousness from a unidimensional to a multidimensional construct.

This study examines the impact of economic policy uncertainty (EPU) on the investment-cash flow sensitivity (ICFS) of Indian manufacturing firms.

This study uses the fixed-effect method to investigate the effect of EPU on ICFS from 2004 to 2019.

This study finds that EPU increases ICFS, which is more (less) during the crisis (before and post-crisis) period. The authors also find that the effect of EPU on ICFS is more for smaller, younger and standalone (SA) firms than the larger, matured and business group affiliated (BGA) firms. This study also reveals that EPU reduces corporate investment (CI). Further, the authors find that cash flow is more significant for the investment of financially constrained firms and the negative effect of EPU is more for these firms.

This study considers the Indian manufacturing sector. Therefore, this study can be extended by analyzing the relationship between EPU and ICFS for the service sector.

First, this study can be useful for corporates, academicians and government bodies to understand the effect of EPU on ICFS and CI. Second, this study will help corporates to focus on internal funds to finance corporates' investment during the crisis period because EPU increases the cost of external finance which may increase ICFS and reduce CI. Third, lending agencies, investors and stakeholders should also focus on the firm's nature, ownership, size and age because these factors play a crucial role to reduce or increase the negative effect of EPU on ICFS. Fourth, the Government should make appropriate policy measures in terms of concessional interest rates to increase the easy availability of external finance for SA, small size, and young firms to reduce the negative effect of EPU on CI because these firms are considered as more financially constrained firms.

This study adds new inputs to the current literature of EPU in several ways. First, this study is one of the main studies focused on the relationship between EPU and ICFS (CI). Especially in emerging countries like India, examining this relationship extends previous research. Second, this study also examines the impact of EPU on ICFS for BGA, SA, small, large, matured and young firms as well as crisis and non-crisis periods. Third, this study uses the sample of the Indian manufacturing sector which has emerged the qualities to become a global manufacturing hub and attracting global investors. Therefore, examining the effect of EPU on ICFS for these firms will be more interesting.

The usability aspect of the construction operations building information exchange (COBie) datasheet has been largely overlooked. Users find it difficult to find relevant data inside COBie and understand the dependencies of information. This research study is a part of a more comprehensive research study to identify the usability issues associated with COBie and propose solutions to deal with them. This paper aims to discuss the challenges associated with the visualization aspect of COBie and proposes a solution to mitigate them.

This paper is based on design thinking and waterfall methodology. While the design thinking methodology is used to explore the issues associated with the visualization aspect of COBie, the waterfall methodology is used to develop a working prototype of the visualizer for the COBie datasheet using a spreadsheet format.

The paper demonstrates that the property graph model based on a node-link diagram can be effectively used to represent the COBie datasheet. This will help in storing data in a visually connected manner and looking at links more dynamically. Moreover, converting and storing data into an appropriate database will help reach data directly rather than navigate multiple workbooks. This database can also help get the history of data inside the COBie datasheet as it develops throughout the project.

This research proposes a novel approach to visualize the COBie datasheet interactively using the property graph model, a type of node-link diagram. Using the property graph model will help users see data in a connected way, which is currently missing in the spreadsheet representation of COBie data. Moreover, this research also highlights that storing historical changes in COBie data can help understand how data has evolved throughout the construction. Additionally, structured storage of data in relationship format can help users to access the end of connected data directly through the efficient search.

Until now, the usage and usability factors of Construction Operation Building information exchange (COBie) datasheet have remained largely overlooked. This oversight may be the potential factor in the lower adoption rates as well as the effective usage of COBie datasheet in the architecture, engineering and construction-facilities management industry. The purpose of this study is to investigate the benefits and key issues associated with COBie datasheet handling and identify the key technological solutions, which can help in mitigating the identified issues.

A literature review was conducted to identify the key benefits of using COBie and issues, which are associated with COBie datasheet handling. This paper has also designed a questionnaire based on a literature review and surveyed professionals who are well versed with handling COBie datasheet. Using responses, the issues are analyzed and discussed using non-parametric statistical analysis.

A total of 9 key benefits and 24 key issues categorized under three groups of usability issues, technical issues and organizational/other issues were identified. The results from the survey agree with all the key issues associated with COBie datasheet handling (with 86 responses). This research also proposes key ideas, that can help in mitigating these issues.

There is a paucity in published literature, which discusses in detail about the various issues associated with COBie datasheet handling. This research study aims to address this gap by identifying key issues by looking at the entire COBie data-capturing process holistically. Finding from this study can help professionals to understand these issues and develop appropriate technological solutions, which can make COBie data capturing and understanding easier. The findings could also assist in increasing the adoption rate of COBie, which could be achieved through mitigation of identified issues.

This paper aims to examine the components or factors influencing tourists’ destination brand selection behaviour in Indian context with evidence-based management modelling by using the Relative to an Identified Distribution (RIDIT) approach. This evidence-based tourism marketing research has contributed to enhance understanding the tourists’ motivation to support decision in tourism marketing domain. The present study has focused on identifying the most relevant factors in the order of priority that influence destination brand-choice behaviour pertaining to Indian tourism sector. The current research has also tried to arrange the different items relating to tourists preferences for better understanding the insight of potential tourists relating to Indian-tourist destinations.

A descriptive, survey research design was chosen to investigate and organize the different components or items in degrees of priority to explain the tourists’ destination brand selection behaviour. In total, 387 empirical tourist samples were collected across India covering both domestic and international tourist segments. An evidence-based management modelling with RIDIT analysis is done to examine the factors, which have influencing role on tourist-destination brand choice behaviour related to Indian tourism market.

The outcome of this research paper should enable the tourism marketers, tourism service providers, tourism brand managers and consultants to create better linkages between the prospective tourists’ preferences and the marketing mix of the destination brands by using evidence based management modelling.

The present research is an original and innovative thought process, trying to evaluate the components or factors influencing tourists’ destination brand selection behaviour pertaining to Indian tourism sector by using the RIDIT approach. Research undertaken so far in tourism marketing area has investigated the different components related to tourism behaviour and destination-brand selection intention of the potential tourists in an unintended and less organized manner. This study can be seen as the first empirical evidence in the domain of tourism marketing where evidence based management modelling with RIDIT approach is done.

Wire-arc-based additive manufacturing (WAAM) is a promising technology for the efficient and economical fabrication of medium-large components. However, the anisotropic behavior of the multilayered WAAM-fabricated components remains a challenging problem.

The purpose of this paper is to conduct a comprehensive study of the grain morphology, crystallographic orientation and texture in three regions of the WAAM printed component. Furthermore, the interdependence of the grain morphology in different regions of the fabricated component with their mechanical and tribological properties was established.

The electron back-scattered diffraction analysis of the top and bottom regions revealed fine recrystallized grains, whereas the middle regions acquired columnar grains with an average size of approximately 8.980 µm. The analysis revealed a higher misorientation angle and an intense crystallographic texture in the upper and lower regions. The investigations found a higher microhardness value of 168.93 ± 1.71 HV with superior wear resistance in the bottom region. The quantitative evaluation of the residual stress detected higher compressive stress in the upper regions. Evidence for comparable ultimate tensile strength and greater elongation (%) compared to its wrought counterpart has been observed.

The study found a good correlation between the grain morphology in different regions of the WAAM-fabricated component and their mechanical and wear properties. The Hall–Petch relationship also established good agreement between the grain morphology and tensile test results. Improved ductility compared to its wrought counterpart was observed. The anisotropy exists with improved mechanical properties along the longitudinal direction. Moreover, cylindrical components have superior tribological properties compared with cuboidal components.

Until now, the usage and usability factors of construction operation building information exchange (COBie) datasheet has remained largely overlooked. This oversight may be the potential factor in the lower adoption rates as well as effective utilization of COBie datasheet in the architectural, engineering and construction – facilities management industry. Cobie Data drops as a concept has difficulty in adoption pertaining to lengthy process of data capturing with high reliance on manual inputs. Finding from this study will enhance the usability aspects of COBie by looking at the entire process of data assembling in conjuncture with design development and using it to understand the project changes. The paper aims to discuss these issues.

The study is aimed at solving a practical issue in handling COBie datasheets. The study uses iterative steps from design thinking and software development process (SDP) for development of the system. The iterative approach from design thinking helped to understand the problem scenarios, development of rule sets and analysis of various options to tackle this issue. SDP was used for the development and validation of the COBieEvaluator prototype.

Despite the information exchange standards such as COBie is available for adoption for quite some time, its perceived value in the whole chain is less described. Various concepts such as preparing COBie sheets from beginning of project are discussed but hardly adopted due to lengthy process. The study helps in substantiating the need for a continuous data capture and showcase how this continuous data capture can help in tracking various design and equipment changes inside a project, using COBieEvaluator. A comparative view over the data helps in giving fruitful information about the project. The system also verify the quality of data inside the COBie datasheet by not only looking at the cell value inputs but also looking at the entire information linkage and finding the gaps.

COBie has mostly being analyzed as an output and its benefits. However, some important aspects of COBie datasheet such as the process of capturing and verifying it, and understanding the meaning of the changes during incremental building of COBie datasheet, is largely overlooked. This study use the concept behind COBie data drops and devise a system to help track effect of project design changes on COBie datasheet. It also highlights the importance of not looking COBie datasheets only as a FM handover requirement, but a source of information which can help various stakeholders to get useful information about the project development. The study propose a comparative dimension over the COBie sheet to get useful insight over the project development.

The case deals with Arihant Retail, a family business firms located at Chennai in Tamil Nadu, India. It is a small scale firm, with a turnover of ‘340 million in 2009–10. Mr. Vishal Surana, the young Chief Executive of Arihant, dreams of making this into a ‘3 billion store by 2015. He has a concept named “Hot Male”, a chain of stores stocking trendy fashionwear targeted at the “funky” young generation belonging to the SEC (Socio Economic Classification) “B” group. He is excited about it, and thinks he can build a whole new concept and grow based mainly on these “Hot Male” stores. Being a family firm, however, he has to take into consideration the views of his family members (they do not seem to interfere in any way) and family friends of long standing, who have their own views. The case outlines the broad options available to Vishal taking into account the business logic, the family logic, and the top management aspirations.

This case deals with hedging and risk management in companies. Surya Textiles had significant export revenues in euros and was looking for innovative ways of hedging foreign exchange risk to make their treasury a profit centre. Target Redemption Forward which hedged the euros into dollars was an attractive option which their Chief Financial Officer wanted to try. This instrument was designed to be a net-zero-premium hedging strategy that could provide Surya with monthly hedging rates that were better than market rates. The case analyses the pros and cons of this instrument.