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The study aims to design metabolic syndrome (MetS) ingredient mix with optimum amino acid makeup using key foods with reported functional properties and study the efficacy of this mix to alleviate the symptoms of MetS among adult men and women with MetS.

In total, 25 MetS-specific ingredient mixes that included wheat flour, common legumes, fenugreek and flaxseeds were formulated by correcting their amino acid score. The suitability of these mixes was tested for the preparation of chapati (an unleavened Indian bread). Owing to its highest lysine content, the ingredient mix of whole wheat flour, oat flour, soybean, flaxseeds and fenugreek seeds was selected for the 12-week supplementation trial among patients with MetS.

The sensory scores of chapatis made using nine ingredient mixes was comparable with those of chapati made from whole wheat flour (control). The test chapatis had a significantly (p = 0.05) higher protein, ash, fibre and fat content, and lysine was also higher (591-1,006 mg/100 g) than the control chapatis (314 mg). Positive and significant changes in the anthropometry, body composition, fasting blood glucose levels, blood pressure and lipid profile of the patients with MS was seen after consumption of the selected ingredient mix.

Keeping in view the traditional vegetarian Indian meals which usually take care of including foods from different sources to improve their protein quality, the concern for providing protein quality to prevent metabolic abnormalities is significant for a large lacto-vegetarian population in India which depends on plant foods for obtaining essential amino acids. Obtaining optimum protein quality from meals along with maintaining a physically active lifestyle may help people have the appropriate fat to lean mass proportion which may have a protective role against MetS.

The importance of nutraceuticals and functional foods has been a topic of interest in nutrition research for many years. This review aims to summarize the findings on the nutritive value and health benefits of chia, as well as its use as a food fortificant.

Published literature on the nutritive value and therapeutic properties of chia has been reviewed.

Chia, an ancient grain, belongs to the mint family (Lamiaceae) and was cultivated in Mexico and Guatemala by the Mayas and Aztecs of a pre-Columbian era. In addition to being gluten-free, chia seeds are concentrated source of omega-3 fatty acids (mainly α-linolenic acid), fiber (insoluble) and polyphenolic compounds (myricetin, quercetin, kaempferol, chlorogenic and caffeic acids), which were found to be comparatively higher than many other grains, cereals and oily seeds. Chia supplementation has potential to lower incidence of cardiovascular disease, obesity, hypertension, cancer, diabetes, pruritus and celiac disease. Because of its nutraceutical and physiochemical properties, chia has been widely used as a whole seed, flour, seed mucilage, gel and oil for developing various enriched food products, such as bread, pasta, cakes, cookies, chips, cheese, yoghurt, meat, fish and poultry.

With advancement in nutrition research, chia would have a great future perspective as feed, food and medicine. However, further research is needed to validate the potential therapeutic effect of chia supplementation on human health.

The purpose of this paper is to explore the link between operations of organization control and workers’ response to them in case of telework, a technology-embedded new way of working.

The authors adopted an interpretive approach to explore control and home-based teleworkers’ response in the Indian information technology industry. Interviews and non-participant observations were analysed using constructivist grounded theory.

The discourse of “telework as a privilege” served as a basis for normative control, helping managers exercise increased technocratic control. Combined with the discourse of “self-responsibility to client”, it led teleworkers to self-subjugate to long/unsocial work hours. However, the simultaneous exercise of technocratic and normative controls resulted in an inconsistency, creating space for teleworker’s resistance to technocratic control. Nonetheless, resistance to technocratic control ironically reinforced normative control.

The authors contribute to the recent discussion on compatibility and coherence of multiple control modes, and their relationship to resistance. The authors show how workers’ selves can be compatible with one control mode while being incompatible with other modes. The authors argue that when workers’ experience incoherence between control modes, they can appropriate the logic underlying compatible control mode(s) to resist incompatible control mode(s). Further, the authors demonstrate how resistance to incompatible control mode(s) can ironically reinforce compatible control mode(s), and thus explicate the micro-processes of control-resistance dialectic. Advancing the emergent understanding of resistance, the authors show that resistance is an exercise of strategic counter-power that seeks to exploit incoherence between control modes and inconsistencies between actions and rhetoric.

The authors developed and validated an algorithm using health administrative data to identify patients who are attached or uncertainly attached to a primary care provider (PCP) using patient responses to a survey conducted in Ontario, Canada.

The authors conducted a validation study using as a reference standard respondents to a community-based survey who indicated they did or did not have a PCP. The authors developed and tested health administrative algorithms against this reference standard. The authors calculated the sensitivity, specificity positive predictive value (PPV) and negative predictive value (NPV) on the final patient attachment algorithm. The authors then applied the attachment algorithm to the 2017 Ontario population.

The patient attachment algorithm had an excellent sensitivity (90.5%) and PPV (96.8%), though modest specificity (46.1%) and a low NPV (21.3%). This means that the algorithm assigned survey respondents as being attached to a PCP and when in fact they said they had a PCP, yet a significant proportion of those found to be uncertainly attached had indicated they did have a PCP. In 2017, most people in Ontario, Canada (85.4%) were attached to a PCP but 14.6% were uncertainly attached.

Administrative data for nurse practitioner's encounters and other interprofessional care providers are not currently available. The authors also cannot separately identify primary care visits conducted in walk in clinics using our health administrative data. Finally, the definition of hospital-based healthcare use did not include outpatient specialty care.

Uncertain attachment to a primary health care provider is a recurrent problem that results in inequitable access in health services delivery. Providing annual reports on uncertainly attached patients can help evaluate primary care system changes developed to improve access. This algorithm can be used by health care planners and policy makers to examine the geographic variability and time trends of the uncertainly attached population to inform the development of programs to improve primary care access.

As primary care is an essential component of a person's medical home, identifying regions or high need populations that have higher levels of uncertainly attached patients will help target programs to support their primary care access and needs. Furthermore, this approach will be useful in future research to determine the health impacts of uncertain attachment to primary care, especially in view of a growing body of the literature highlighting the importance of primary care continuity.

This patient attachment algorithm is the first to use existing health administrative data validated with responses from a patient survey. Using patient surveys alone to assess attachment levels is expensive and time consuming to complete. They can also be subject to poor response rates and recall bias. Utilizing existing health administrative data provides more accurate, timely estimates of patient attachment for everyone in the population.

This paper analyzes how information systems (IS) can serve as tools of neo-colonial control in offshore outsourcing of research and development work. It draws on critical work examining business and knowledge process outsourcing.

The paper reports an empirical study of how laboratory information management systems (LIMS) shape offshore outsourcing practices involving Western client firms and Indian contract research organizations (CROs) in the pharmaceutical industry. The study adopted a multi-actor perspective, involving interviews with representatives of Western clients, Indian CROs, system validation auditors, and software vendors. The analysis was iterative and interpretative, guided by postcolonial sensitivity to themes of power and control.

The study found that LIMS act as tools of neo-colonial control at three levels. As Western clients specify particular brands of LIMS, they create a hierarchy among local CROs and impact the development of the local LIMS industry. At inter-organizational level, LIMS shape relationships by allowing remote, real-time and retrospective surveillance of CROs’ work. At individual level, the ability of LIMS to support micro-modularizing of research leads to routinization of scientific discovery, negatively impacting scientists’ work satisfaction.

By examining multiple actors’ perceptions of IS, this paper looks beyond the rhetoric of system efficiency characteristic of most international business research. As it explores dynamics of power and control surrounding IS, it also questions the proposition that outsourcing of high-end work will move emerging economies upstream in the value chain.

The faculties are crucial to education. They should have enough training facilities and be encouraged to actively contribute to high-quality education and successful learning. Faculty engagement and development activities should be explored and included in learning organizations and employee engagement in India. This paper aims to describe higher education as a learning organization. The research will also assess how faculty development programs affect faculty engagement behaviors in these institutions and if professional development mediates this effect, which has not been previously examined.

This study was conducted with quantitative data collected from 267 faculties through reliable and validated adapted questionnaires. Semistructured interviews were conducted with heads and professor-level faculties to gain insights into faculty development and engagement. Partial least squares structural equation modeling technique (PLS-SEM 3.3.6 version) was used to test the conceptually drafted model.

Faculty professional development programs shown to improve higher education faculty engagement and professional progress. The studies also showed that higher education institutions must prioritize faculty development to become learning organizations. Professional development reduced the direct effects of faculty development program (FDP) on faculty engagement. This suggests that professional growth mediates the research.

This research emphasizes and professional development to boost teacher involvement in B-Schools. Management must design faculty development programs to construct professional development and learning organizations, according to the results. Developing and writing rules that encourage faculty engagement in such internal and external programs would also enhance their academic and administrative abilities and assist higher education institutions become learning organizations.

The study is one of the few to examine the impact of faculty development programs and professional development on faculty engagement in higher education institutions, particularly B-Schools, and its competitive mediating role.

Preservice teacher (PST) professional development programs are crucial for cultivating high-quality STEAM teachers of the future, significantly impacting the quality of regional STEAM education. The Guangdong-Hong Kong-Macao Greater Bay Area, as a region of cross-border cooperation, integrates the resources and advantages of Guangdong, Hong Kong, and Macao, possessing rich cultural heritage and innovative capabilities. Transdisciplinary Education for Cultural Inheritance (C-STEAM) is an effective approach to promoting educational collaboration within the Greater Bay Area, facilitating the integration of both technological and humanities education. This study aims to develop a Technology-Enabled University-School-Enterprise (T-USE) collaborative education model and implement it in the Greater Bay Area, to explore its role as a support mechanism in professional development and its impact on C-STEAM PSTs' professional capital.

Adopting a qualitative methodology, the study interviewed PSTs who participated in a C-STEAM teacher education course under the T-USE model. Thematic coding is used to analyze their knowledge acquisition, interaction benefits with community members, and autonomous thinking and decision-making in theoretical learning and teaching practice.

The findings show that the T-USE model significantly enhanced the PSTs' human capital, including teaching beliefs, knowledge, and skills. In terms of social capital, PSTs benefited from collaboration with PST groups, university teaching teams, in-service teachers, and enterprises, though challenges such as varying levels of expertise among in-service teachers and occasional technical instability emerged. For decisional capital, the T-USE model provided opportunities for autonomous thinking and promoted teaching judgment skills through real teaching challenges and scenarios. Reflective practice activities also supported PSTs' professional growth.

This study reveals the effectiveness and internal mechanism of the T-USE model in C-STEAM PST training, offering significant theoretical and practical references for future PST education.

Nowadays, many firms are finding ways to enhance the survivability of sustainable supply chains (SUSSCs). The present study aims to develop a model for the SUSSCs of small and medium enterprises (SMEs) during the COVID-19 pandemic.

With the help of exhaustive literature review, constructs and items are identified to collect the responses from different SMEs. A total of 278 complete responses are received and 6 hypotheses are developed. Hypotheses testing have been done using structural equation modeling (SEM).

Major constructs identified for the study are supply chain (SC) performance measurement under uncertainty (SPMU), supply chain cooperation (SCCO), supply chain positioning (SCP), supply chain administration (SCA), supply chain feasibility (SCF) and the SUSSCs. From statistical analysis of the data collected, it can be concluded that the considered latent variables contribute significantly towardsthe model fit.

The present study contributes to the existing literature on disruptions and survivability. The study can be further carried out in context to different countries and sectors to generalize the findings.

The research findings will be fruitful for SMEs and other organizations in developing strategies to improve survivability during uncertain business environments.

The study has developed a model that shows that the identified latent variables and their indicators contribute significantly toward the dependent variable, i.e. survivability. It contributes significantly in bridging the research gaps existing in context to the survivability of SMEs.

The online shopping behavior is the outcome of the variety of attribution from product/ service offering to internet experience. The present study attempts to develop a complete product/service offering by exploring and examining the different combinations of online shopping attributes to provide the customized experience. Therefore, this study aims to fill the gap of customer desired experience and present scenario in online shopping behavior.

The exploration of attributes pertaining to online shopping behavior was done by seeking theoretical support from different technology adoption theories/models and the Delphi technique, exercised with active participants of online and offline shopping. The theoretical and experience shared attributes were devised and social desirability scale (SDS) was used for eliminating the social desirability bias. Further, the questionnaire was administered online and offline during mall intercept. The Conjoint analysis was used to investigate the relative importance and utilities of the attributes and its levels individually and compositely at different levels.

In the context, brand loyalty, online reputation management and Web interactivity were found most relavant followed by e-WOM, perceived risk and price. The specific levels of attributes such as taking consumer advice, search engine optimization (SEO), perception-based interactivity, consumer message boards, product risk and discount pricing were the crucial in motivating the customers for online shopping. This research affords the avenue for the marketers to motivate and delight consumers to retribalize by the way of “e-tribalizing.”

The current study was conducted in confined geographical locations and limited in sample size; thus, the issue of generalization may prevail, but forthcoming researchers may exercise the techniques with better probabilistic sampling technique. The mass customization of the website features by comparing attribute orientation of customers around websites was recommended with the third-party certification to reduce the consumers’ perceived risk during online shopping. Finally, the different levels, such as Facebook fan page in ORM and Everyday Low Price (EDLP) in pricing may be considered for the future research work.

The research studies on online shopping behavior with Web interactivity, e-WOM, perceived risk, brand loyalty, ORM and price using a decompositional technique are scant. This study persuades the customers to go for online shopping by putting them in the almost real-time purchasing scenario. The study confirmed the need of people to retribalize through e-tribalization by the way of customization for the masses in the context of online shopping.

This study explores consumers' motivations to purchase luxury and counterfeit products using an international sample. In addition, it also examines the moderating role of interpersonal influence on this process. This study seeks to examine if the consumers who demand the highest quality express a preference for luxury goods over counterfeit goods.

Survey research was employed to subjects from the USA, India, China and Russia. Responses from US and India consumers were collected using online software, whereas responses from China and Russia were collected with the help of a local market research firm.

The findings of the study indicate that consumers tend to show similar reactions based on the luxury and counterfeit consumption process examined here. In terms of interpersonal influence as a moderator, however, the study found it significantly impacts status seekers' attitude toward luxury and how a perfectionist shopper perceives counterfeit consumption.

This study is one of the first in the literature to empirically address both luxury and counterfeit consumption. Further it considers consumers from multiple countries with high levels of luxury good purchases.