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This paper aims to fill a gap in the authors’ understanding of alliance-level and the partner-level alliance performance by analysing the influence of behavioural factors for alliances formed by SMEs. Prior studies on the topic have arrived at inconclusive results. This study plugs gaps in prior studies' approach such as deployment of inconsistent performance measures, and omission of contingent factors.

The survey method was used to collect responses about 86 alliances of Indian SMEs. The data were analysed using PLS-SEM technique.

Two relationship capital variables – Trust and Commitment – were found to have differential influence on the two levels of SME alliance performance, and their influence was mediated by the presence of two exchange climate variables – Communication and Conflict.

Since the study employs perceptual measures of performance, it is subject to the limitations of these measures. Similarly, given the relatively small sample size on which analyses were based, the results may need to be replicated in order to generalize the findings.

The study tested a comprehensive model for alliance and partner performance in the context of SMEs. The study's results may be particularly useful to managers of SMEs for focusing on the key factors that influence alliance performance as well as their performance.

The model tested in the study is comprehensive and also accounts for the subtleties about the impact of the two key types of behavioural factors – Relationship capital and Exchange climate – on alliance and partner performance.

The aim of the study was to determine how the different types of resources possessed by a small- and medium-sized enterprise (SME), in conjunction with the environmental uncertainty perceived by the SME's managers, affect SME's alliance formation.

Personal interview method was used to collect responses to a survey instrument from Indian SMEs. Logistic regression technique was used to analyze the responses obtained from 127 manufacturing enterprises.

The study finds that while both tangible and intangible resources possessed by an enterprise positively influence the enterprise's alliance formation, the influence of intangible resources is significantly stronger. The authors also observed the interactive effect between each resource type and environmental uncertainty to be a significant predictor of alliance formation.

The study does not account for temporal effects such as changes in resources and perceived environmental uncertainty, which may affect alliance formation. Similarly, because the data were obtained from a geographically restricted sample, replication of the study in other geographies may be necessary for generalizing the results.

The paper responds to the call for research to link firm resources and perceived environmental uncertainty toward explaining alliance formation by SMEs. The study went beyond making a distinction between the two types of resources by explicating how the interaction of resource type and environmental uncertainty will affect alliance formation.

The purpose of this study is to classify and analyze the impact of antecedents studied in the extant literature on two levels of SME alliance performance – alliance-level and firm-level.

Using online databases and the bibliography section of the selected articles, 45 peer-reviewed studies specifically analyzing the impact of antecedents on the performance of SME alliances at the two levels were studied to gain insights.

The study differentiates between the impact of antecedents on the two levels of SME alliance performance, alliance-level and firm-level, and finds that certain antecedents, such as absorptive capacity, corporate entrepreneurship, control, network dimensions, partner opportunism and partner reputation, have a peculiar impact on a single level while other antecedents such as trust, commitment and cooperation, have an influence on performance at both levels. Also, the impact of these antecedents is hypothesized to be weak or strong, depending upon the results obtained by the papers in the review.

In a first-of-its-kind approach, the paper provides a conceptual insight into the differentiating impact of antecedents on SME alliance performance at both levels, as opposed to the unitary analysis approach used in the extant literature. The model provided by the study can be used by researchers to gain a systematic understanding of how alliance outcomes are affected.

While the extant literature remains largely ambiguous on the role of antecedents causing variance in SME alliance outcomes, this paper serves to bridge this gap and enhance the understanding of practitioners by systematically analyzing how specific antecedents affect SME alliance performance at both levels.

As opposed to the unitary approach used in the extant literature, which does not differentiate between the two levels of SME alliance performance, this paper arranges and categorizes these studies based on the level at which alliance performance has been analyzed. Furthermore, the paper identifies the impact of antecedents at each level, thereby providing pioneering insights on understanding SME alliance outcomes.

Smart card-based E-payment systems are receiving increasing attention as the number of implementations is witnessed on the rise globally. Understanding of user adoption behavior of E-payment systems that employ smart card technology becomes a research area that is of particular value and interest to both IS researchers and professionals. However, research interest focuses mostly on why a smart card-based E-payment system results in a failure or how the system could have grown into a success. This signals the fact that researchers have not had much opportunity to critically review a smart card-based E-payment system that has gained wide support and overcome the hurdle of critical mass adoption. The Octopus in Hong Kong has provided a rare opportunity for investigating smart card-based E-payment system because of its unprecedented success. This research seeks to thoroughly analyze the Octopus from technology adoption behavior perspectives.

Cultural impacts on adoption behavior are one of the key areas that this research posits to investigate. Since the present research is conducted in Hong Kong where a majority of population is Chinese ethnicity and yet is westernized in a number of aspects, assuming that users in Hong Kong are characterized by eastern or western culture is less useful. Explicit cultural characteristics at individual level are tapped into here instead of applying generalization of cultural beliefs to users to more accurately reflect cultural bias. In this vein, the technology acceptance model (TAM) is adapted, extended, and tested for its applicability cross-culturally in Hong Kong on the Octopus. Four cultural dimensions developed by Hofstede are included in this study, namely uncertainty avoidance, masculinity, individualism, and Confucian Dynamism (long-term orientation), to explore their influence on usage behavior through the mediation of perceived usefulness.

TAM is also integrated with the innovation diffusion theory (IDT) to borrow two constructs in relation to innovative characteristics, namely relative advantage and compatibility, in order to enhance the explanatory power of the proposed research model. Besides, the normative accountability of the research model is strengthened by embracing two social influences, namely subjective norm and image. As the last antecedent to perceived usefulness, prior experience serves to bring in the time variation factor to allow level of prior experience to exert both direct and moderating effects on perceived usefulness.

The resulting research model is analyzed by partial least squares (PLS)-based Structural Equation Modeling (SEM) approach. The research findings reveal that all cultural dimensions demonstrate direct effect on perceived usefulness though the influence of uncertainty avoidance is found marginally significant. Other constructs on innovative characteristics and social influences are validated to be significant as hypothesized. Prior experience does indeed significantly moderate the two influences that perceived usefulness receives from relative advantage and compatibility, respectively. The research model has demonstrated convincing explanatory power and so may be employed for further studies in other contexts. In particular, cultural effects play a key role in contributing to the uniqueness of the model, enabling it to be an effective tool to help critically understand increasingly internationalized IS system development and implementation efforts. This research also suggests several practical implications in view of the findings that could better inform managerial decisions for designing, implementing, or promoting smart card-based E-payment system.

Elemental analysis of these medicinal plants was performed by employing Instrumental Neutron Activation Analysis (INAA) and Atomic Absorption Spectroscopy (AAS) techniques. The samples were irradiated with thermal neutrons in a nuclear reactor and the induced radio activity was counted by gamma ray spectrometry using an efficiency calibrated high resolution High Purity Germanium (HPGe) detector. Most of the medicinal plants were found to be rich in one or more of the elements under study. The variation in elemental concentration in same medicinal plant samples collected from different regions was studied and the biological effects of these elements on human beings are discussed. The study was also extended further to estimate the level of toxic elements like Cr, Cd, Ni, Pb and Hg in medicinal plants which arises due to environmental pollution. The results were discussed with careful reference to established role of essential and rare elements to the physiology and pathology of plant and human life.

In the present networking scenarios, MANETs mainly focus on reducing the consumed power of battery-operated devices. The transmission of huge data in MANETs is responsible for greater energy usage, thereby affecting the parameter metrics network performance, throughput, packet overhead, energy consumption in addition to end-to-end delay. The effective parameter metric measures are implemented and made to enhance the network lifetime and energy efficiency. The transmission of data for at any node should be more efficient and also the battery of sensor node battery usage should be proficiently applied to increase the network lifetime. The paper aims to discuss these issues.

In this research work for the MANETs, the improvement of energy-efficient algorithms in MANETs is necessary. The main aim of this research is to develop an efficient and accurate routing protocol for MANET that consumes less energy, with an increased network lifetime.

In this paper, the author has made an attempt to improve the genetic algorithm with simulated annealing (GASA) for MANET to minimize the energy consumption of 0.851 percent and to enhance the network lifetime of 61.35 percent.

In this paper, the author has made an attempt to improve the GASA for MANET to minimize the energy consumption of 0.851 percent and to enhance the network lifetime of 61.35 percent.

This paper aims to present a non-linear mathematical model-based routing protocol for wireless body area networks (WBANs). Two non-linear mathematical models for WBANs are used in the proposed protocols Model 1 and Model 2. Model 1 intends to improve the data transmission rate and Model 2 intends to reduce energy consumption in the WBANs. These models are simulated for fixed deployment and priority-based data transmission, and performance of the network is analyzed under four constraints on WBANs.

Advancements in wireless technology play a vital role in several applications such as electronic health care, entertainment and games. Though WBANs are widely used in digital health care, they have restricted battery capacity which affects network stability and data transmission. Therefore, several research studies focused on reducing energy consumption and maximizing the data transmission rate in WBANs.

Simulation results of the proposed protocol exhibit superior performance in terms of four network constraints such as residual energy, the stability of the network, path loss and data transmission rate in contrast with conventional routing protocols. The performance improvement of these parameters confirms that the proposed algorithm is more reliable and consumes less energy than traditional algorithms.

The Model 1 of the proposed work provides maximum data extraction, which ensures reliable data transmission in WBANs. The Model 2 allocates minimal hop count path between the sink and the sensor nodes, which minimizes energy consumption in the WBANs.

The overall goal of science is to build a valid and reliable body of knowledge about the functioning of the world and how applying that knowledge can change it. As personnel and human resources management researchers, we aim to contribute to the respective bodies of knowledge to provide both employers and employees with a workable foundation to help with those problems they are confronted with. However, what research on research has consistently demonstrated is that the scientific endeavor possesses existential issues including a substantial lack of (a) solid theory, (b) replicability, (c) reproducibility, (d) proper and generalizable samples, (e) sufficient quality control (i.e., peer review), (f) robust and trustworthy statistical results, (g) availability of research, and (h) sufficient practical implications. In this chapter, we first sing a song of sorrow regarding the current state of the social sciences in general and personnel and human resources management specifically. Then, we investigate potential grievances that might have led to it (i.e., questionable research practices, misplaced incentives), only to end with a verse of hope by outlining an avenue for betterment (i.e., open science and policy changes at multiple levels).