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Green building (GB) is an important aspect of sustainable development that advocates for practices that enhance the health and well-being of the occupants and communities with minimal impact on the environment. The adoption of the GB concept is low in most developing countries. This study aimed at assessing the extent of the adoption of GB concepts in Kakamega municipality as a case study. The study sampled 64 respondents which consisted of 15 professionals in the building industry and 49 commercial and residential buildings within the municipality. The results indicated that at least 80% of the professionals were aware of GB concepts of water efficiency, energy efficiency, sustainable materials, sustainable site practices, and indoor environmental quality (IEQ). Water efficiency practices that were widely adopted in commercial and residential buildings were rainwater harvesting and the use of efficient plumbing fixtures. The energy-saving measures adopted were switching off appliances when not in use, use of energy-saving bulbs, and solar energy. The majority of the respondents felt that the indoor air quality was fair. Resource reuse was not widely adopted which could be attributed to a lack of policy or legislation. Low impact development (LID) design of vegetated storm conveyance and rain gardens (bioretention and porous/permeable pavements) was adopted in 42.9% of the buildings. Research into the use of sustainable materials is recommended for wider application as a GB concept. The study recommends the promotion of GB through incentives to enable wider adoption among the owners and developers. Furthermore, GB legislation and certification programs need to be adopted in Kenya. This study was largely based on Leadership in Energy and Environmental Design (LEED) criteria and thus further studies are required on other assessment tools and methods.

The benefits of global trade are primarily attributed to reducing trade distortions between trading partners. The anticipated promise of a progressive diminution in tariffs throughout the globe was, regrettably, steadily superseded by non-tariff measures (NTMs). However, the impact of these NTMs is only sometimes evident since it occurs in various disguises. NTMs significantly influence trade in the SAARC, mandating prompt attention. The question is how much internal trade will expand if NTMs are repealed. Based on statistics from 2015 to 2020, the study endeavours to quantify the impact of NTMs on Afghanistan's trade volume within the SAARC region, primarily targeting four export destinations (Bangladesh, India, Pakistan and Sri Lanka). Using trade freedom scores as a proxy for trade distortions, it has been determined that Afghanistan's magnitude of export earnings is significantly lower due to NTMs imposed by its importing trading partners. According to the findings, a 1% rise in tariffs and NTMs applied by importing countries diminishes Afghanistan's exports by 1.23%.

In contrast, the impact of tariffs alone lowers Afghanistan's exports by 1.13%. The incidence of NTMs also devoid actual Afghanistan exports by US$ 5.70 million, equal to a 0.029% loss of Afghanistan's GDP. The calculations also reveal that lowering or eliminating non-tariff barriers has diverse trade growth effects in different trade groupings. The study recommends a serious NTM-oriented trade policy dialogue that is liberal and guarantees regional integration, thereby promoting and ensuring the future of Afghanistan's economic laurels and stability.

Under this heading are published regularly abstracts of all Reports and Memoranda of the Aeronautical Research Committee, Reports and Technical Notes of the U.S. National Advisory Committee for Aeronautics and publications of other similar research bodies as issued

The purpose of this paper is to understand how big data and predictive analytics (BDPA), as an organizational capability, can improve both visibility and coordination in humanitarian supply chains.

The authors conceptualize a research model grounded in contingent resource-based view where the authors propose that BDPA capabilities affect visibility and coordination under the moderating effect of swift trust. Using ordinary least squares regression, the authors test the hypotheses using survey data collected from informants at 205 international non-government organizations.

The results indicate that BDPA has a significant influence on visibility and coordination. Further, the results suggest that swift trust does not have an amplifying effect on the relationships between BDPA and visibility and coordination. However, the mediation test suggests that swift trust acts as a mediating construct. Hence, the authors argue that swift trust is not the condition for improving coordination among the actors in humanitarian supply chains.

The major limitation of the study is that the authors have used cross-sectional survey data to test the research hypotheses. Following Guide and Ketokivi (2015), the authors present arguments on how to address the limitations of cross-sectional data or use of longitudinal data that can address common method bias or endogeneity-related problems.

Managers can use this framework to understand: first, how organizational resources can be used to create BDPA, and second, how BDPA can help build swift trust and be used to improve visibility and coordination in the humanitarian supply chain.

This is the first research that has empirically tested the anecdotal and conceptual evidence. The findings make notable contributions to existing humanitarian supply chain literature and may be useful to managers who are contemplating the use of BDPA to improve disaster-relief-related activities.

This study aims to analyze the mediating role of data analytics management capability (DAMC) in the relationship between supply chain integration (SCI) and supply chain agility, adaptability and alignment (Triple-A). It also studies the role of Triple-A supply chains in performance improvement. We develop and present a model based on our proposition and informed by the dynamic capabilities perspective.

The authors employ meta-analytic structural equation modeling to test the proposed model by analyzing reported statistics of 117 published studies.

This study’s results describe why some prior research findings are contradictory. For example, researchers have posited mixed findings on the impact of SCI on agility. The results show that SCI and agility do not have a significant direct association, and DAMC mediates their indirect relationship.

The impact of SCI on performance is debatable. SCI permits access to shared resources for competitive advantage; conversely, SCI-induced rigidity may reduce supply chain agility and adaptability. Informed by dynamic capabilities theory, the authors demonstrate that DAMC positively mediates the impact of SCI on performance.

Biomedical radio frequency (RF) transceivers require miniaturized forms with long battery life and low power consumption. The medical implant communication service (MICS) band in the frequency range of 402–405 MHz is widely used for medical RF transceivers because the MICS band signals have reasonable propagation characteristics and are suited to achieve good results. The implementation of the RF front-end for medical devices has many challenges as these dictate low power consumption. In particular, phase-locked loop is one of the most critical blocks of the RF front-end. The purpose of this paper is to the design of controller-based all-digital phase-locked loop (ADPLL) in a 45 nm CMOS process.

Initially, an open-loop architecture phase frequency detector (PFD) is designed. Then based on the concept of differential buffer, a differential ring oscillator (RO) is built using capacitive boosting technique. After that, the frequency controller block is built by proper mathematical modeling that does the job of loop filter, which behaves like a phase interpolator. Frequency controller block has tuning register block, tuning word register. The tuning block is built using the Metal Oxide Semiconductor (MOS) caps. Finally, the integration of all the blocks is done and the ADPLL architecture that locks at 402 MHz is achieved.

The designed PFD is dead zone free that operates at 1 GHz. The differential RO oscillates at 495 MHz. The proposed ADPLL operates at 402 MHz with measured phase noise of −98.36 at 1-MHz offset. This ADPLL exhibits rms jitter of 4.626 ps with a total power consumption of 216.5 µW.

A time to digital converter (TDC)-less controller-based low power ADPLL covering the MICS frequency band for biomedical applications has been designed in 45 nm/0.68 V CMOS technology. The ADPLL proposed in this draft uses differential oscillator with capacitively boosted technique which reduced the operating voltage to as low as 0.68 V. This ADPLL has a bandwidth of 20 kHz and works at reference frequency of 20 MHz consumed power of 216.5 µW, while generating an output frequency of 402 MHz. The tuning range is from 375 to 428 MHz. With the phase noise of −98.36 dbc/Hz at 1 MHz, a frequency controller block replaces the usage of TDC.

The designed ADPLL will definitely pave way to greater research arena in the field of biomedical field. This ADPLL is a unique combination that combines electronics and biomedical field. The designed ADPLL is itself a broader application to biomedical field that will have a positive impact on the society.

The implementation of open-loop PFD and RO using the capacitive boosting technique is a unique combination. This is comprehended well with frequency controller block that eliminates the usage of TDC and behaves as phase interpolator. The entire design of ADPLL which suits the application of MICS band of frequency has been designed carefully to work at low power.

The recent surge in behavioral studies on the coordination mechanisms in supply chains (SCs) and advanced methods highlights the role of SC coordination (SCC) and behavioral issues associated with improving the performance of the operations. This study aims to critically review the behavioral aspect of channel coordination mechanisms.

Following a systematic literature review methodology, the authors adopt a combination of bibliometric (to reflect the current state of the field), content (using Leximancer data mining software to develop thematic maps) and theory-oriented qualitative analyzes that provide a holistic conceptual framework to unify the literature’s critical concepts.

The analysis confirms the plethora of risk-oriented publications, demonstrating that the second largest category of studies is concerned with social preferences theory. Most studies were based on experiments, followed by analytical modeling, revealing the impact of heuristics and individual preferences in SC decisions and suggesting promising managerial and theoretical avenues for future research.

The study sheds light on behavioral decision theories applied to SC coordination by categorizing the literature based on the adopted theories. The methodological contributions include using automated content analysis and validating the outcome by interviewing leading scholars conducting active research on “behavioral operations management and SC contracts.” The authors also propose several directions for future research based on the research gaps.

The purpose of this paper is twofold: first, to present a set of critical factors for total quality management (TQM) and supply chain management (SCM) practices through an extensive literature review; and, second, to identify the relationships among them by comparing the identified TQM and SCM practices in order to explore the concept of supply chain quality management (SCQM).

To meet the goals of this work, a review of published quality research papers was carried out. For this, the authors identified papers on TQM and SCM practices and observed how these practices improve the business performance of organizations. Further, on the basis of identified practices, a conceptual model of SCQM was developed.

The results presented a set of six critical factors each for TQM and SCM practices. Further, it was found that management support and commitment, customer focus, information and supplier partnership are the most common practices found in both TQM and SCM practices. The integration of TQM and SCM (SCQM) throughout the supply chain has the strongest impact on the organizational performance.

The study used data from various research papers of reputed journals which considered the study of India’s manufacturing industry as well as other countries, which may not provide a clear picture. However, this can be overcome by applying the findings of this paper to collect data from Indian manufacturing industry in future studies.

Indian manufacturing industry can improve its competitive image through the synergy of TQM and SCM. The result of this paper will help in providing a greater understanding of identified TQM and SCM practices that will lead to the successful implementation of TQM and SCM strategies to enhance business performance in terms of the improved levels of customer service.

Much of the attention is given on TQM and SCM practices, and very few studies have been undertaken to integrate TQM and SCM practices. But as far as the authors know, there is no study undertaken to integrate TQM and SCM practices in India for the manufacturing class. Therefore, this study compares TQM and SCM practices and considers their integration and can be thus treated as filling a gap in the extant literature. Therefore, the findings of this review paper will contribute in future research.

The purpose of this paper is three pronged. First, to review the existing critical success factors (CSF) literature in the context of supply chain management (SCM). Second, to analyze the occurrence frequency of every possible CSF in SCM literature. Third, to identify the “vital few” and the “useful many” CSF that are harmonized across the SCM field.

A time-specific and term-sensitive literature review technique is undertaken to generate a list of possible CSF in SCM. The review yielded 55 papers, but only 26 empirical CSF papers were selected for analysis as the reliability and validity of the factors had been rigorously tested. Consequently, a Pareto analysis approach was applied to trace the CSF frequency of occurrence in SCM literature. By performing a Pareto analysis, this present study is able to identify and categorize the “vital few” and “useful many” CSF that are consistent throughout various fields of SCM. The review and results are tabulated and a Pareto diagram has been constructed to provide a summary of findings.

Out of the 26 selected empirical papers, 25 potent CSF in SCM literature have been extracted. From the Pareto analysis, nine CSF represent 80.68 percentage of occurrence which is regarded as the “vital few” CSF in SCM. The remaining 16 CSF represent 19.32 percentage of occurrence and is regarded as the “useful many” CSF in SCM. The nine “vital CSF” are immensely important, because in order to achieve supply chain and operation success, one must recognize the few vital factors that are responsible for the larger impact onto the industry compared to the other 16 “useful many” CSF.

The study offers some sense of assistance to SCM managers in highlighting the vital few CSF that matter most, regardless of their nature of SCM fields. Thus, saving their energy, time, and resources in determining the critical pieces of information. For academicians, this study provides a platform for future SCM CSF research and the results could aid researchers in developing the research instrument.

This study is the first attempt to apply Pareto analysis for SCM CSF studies and critically analyzing a wide range of SCM CSF literature. The result could allow supply chain managers to focus on the internal factors, as it could implicate the external factors, and is vital for sustainable supply chain operation, plus, it could stimulate potential researcher opportunities in linking SCM CSF and firm performance.