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This paper aims to explore recent advances in drift compensation algorithms for Electronic Nose (E-nose) technology and addresses sensor drift challenges through offline, online and neural network-based strategies. It offers a comprehensive review and covers causes of drift, compensation methods and future directions. This synthesis provides insights for enhancing the reliability and effectiveness of E-nose systems in drift issues.

The article adopts a comprehensive approach and systematically explores the causes of sensor drift in E-nose systems and proposes various compensation strategies. It covers both offline and online compensation methods, as well as neural network-based approaches, and provides a holistic view of the available techniques.

The article provides a comprehensive overview of drift compensation algorithms for E-nose technology and consolidates recent research insights. It addresses challenges like sensor calibration and algorithm complexity, while discussing future directions. Readers gain an understanding of the current state-of-the-art and emerging trends in electronic olfaction.

This article presents a comprehensive review of the latest advancements in drift compensation algorithms for electronic nose technology and covers the causes of drift, offline drift compensation algorithms, online drift compensation algorithms and neural network drift compensation algorithms. The article also summarizes and discusses the current challenges and future directions of drift compensation algorithms in electronic nose systems.

The multiple goals make social enterprises vulnerable to mission drift, which hurts the sustainability of these hybrid organizations. As initiators, the relationship between social entrepreneurs and the mission drift of social enterprises needs to be further explored. This study aims to explore how entrepreneurs’ education and age impact social enterprise mission drift and examine the potential moderating effects of social enterprise legitimacy.

This study uses the Global Entrepreneurship Monitor data set to obtain the required samples, and further regression analysis is used to test the hypotheses.

The results showed that the more educated the entrepreneur, the lower the social enterprise mission drift. There is an inverted U-shaped relationship between social entrepreneurs’ age and mission drift. Finally, the inverted U-shaped relationship between age and mission drift was more pronounced in contexts with lower social enterprise legitimacy than high legitimacy levels.

This study highlights the significance of founders’ characteristics on the mission robustness of the social enterprises they create. At the same time, the role of social enterprise legitimacy is demonstrated in the context of this study. The findings of this research have implications for social entrepreneurs, social enterprises and policymakers.

The purpose of this study is to explore the impact of deviant workplace behavior on digital transformation in the public sector. This contributes to the current literature on public sector digital transformation as well as to that of deviant workplace behavior in public sector contexts.

The authors conduct a qualitative case study of a digital transformation initiative in a Swedish municipality.

The authors identify three types of institutional drift related to digital transformation, i.e. decelerating digital transformation, maintaining infrastructural stability and accelerating digital transformation. The authors categorize mediators for said drift and theorize on the role of deviant workplace behavior as a strategic driver for digital transformation in public sector organizations.

With the study being a qualitative case study, it is limited in terms of generalizability and transferability. Through this study, the authors sensitize the notion of digital transformation and show how deviant behavior results in strategic polyphony. Future studies are informed through offering a new perspective to public sector digital transformation strategy.

Practice should view deviant workplace behavior as simultaneously constructive and destructive in lieu of planned digital transformation, as well as see its presence as a potential sign of subpar prerequisites for digital transformation in the public sector.

Through this study, deviant workplace behavior is highlighted as a source of strategic polyphony and hence an important aspect of public sector digital transformation strategy.

Through being the first paper, to the best of the authors’ knowledge, to apply the theory of institutional drift to digital transformation settings as well as identifying the impact of deviant workplace behavior on digital transformation, the study offers novel insights.

In this paper, the seismic behavior of the gusset plate moment connection (GPMC) exposed to the post-earthquake fire (PEF) is investigated.

For this purpose, for the sake of verification, first, a numerical model is built using ABAQUS software and then exposed to earthquakes and high temperatures. Afterward, the effects of a series of parameters, such as gusset plate thickness, gap width, steel grade, vertical load value and presence of the stiffeners, are evaluated on the behavior of the connection in the PEF conditions.

Based on the results obtained from the parametric study, all parameters effectively played a role against the seismic loads, although, when exposed to fire, it was found that the vertical load value and presence of the stiffener revealed a great contribution and the other parameters could not significantly affect the connection performance. Finally, to develop the modeling and further study the performance of the connection, the 4 and 8-story frames are subjected to 11 accelerograms and 3 different fire scenarios. The findings demonstrate that high temperatures impose rotations on the structure, such that the story drifts were changed compared to the post-earthquake drift values.

The obtained results can be used by engineers to design the GPMC for the combined action of earthquake and fire.

The purpose of the paper is to propose an efficient and accurate force/torque (F/T) sensing method for the robotic wrist-mounted six-dimensional F/T sensor based on an excitation trajectory.

This paper presents an efficient and accurate F/T sensing method based on an excitation trajectory. First, the dynamic identification model is established by comprehensively considering inertial forces/torques, sensor zero-drift values, robot base inclination errors and forces/torques caused by load gravity. Therefore, the sensing accuracy is improved. Then, the excitation trajectory with optimized poses is used for robot following and data acquisition. The data acquisition is not limited by poses and its time can be significantly shortened. Finally, the least squares method is used to identify parameters and sense contact forces/torques.

Experiments have been carried out on the self-developed robot manipulator. The results strongly demonstrate that the proposed approach is more efficient and accurate than the existing widely-adopted method. Furthermore, the data acquisition time can be shortened from more than 60 s to 3 s/20 s. Thus, the proposed approach is effective and suitable for fast-paced industrial applications.

The main contributions of this paper are as follows: the dynamic identification model is established by comprehensively considering inertial forces/torques, sensor zero-drift values, robot base inclination errors and forces/torques caused by load gravity; and the excitation trajectory with optimized poses is used for robot following and data acquisition.

Developing economies often lack sufficient state regulation to encourage corporations to engage with environmental sustainability challenges. Environmental NGOs fill this vacuum but this relationship is fraught with challenges, linked to each party’s competing interests. This paper examines how an environmental NGO operating in a developing country manages such challenges.

A longitudinal case study, from 2017–2022, based on semi-structured interviews and documentary analysis, with the main periods of field work in 2017 and 2020.

We unravel nuanced dynamics of accountability within an NGOs collaborative ecosystem. Our findings reveal a web of interlinked obligations and expectations, strategically adopted to reconcile environmental and CSR logics fostering trustworthy partnerships with firms. Despite aiming for transformative change, the NGO made gradual initiatives, to meet the challenges of fostering systemic change in developing nations. Institutional logics of professionalism and development allowed NGO members avoid mission drift and realign upward accountability relations into lateral ones.

The study provides insight into successful NGO-corporate partnerships and illustrates how accountability is negotiated, upheld, and reconceptualized in such collaborations.

The purpose of this study is to contribute to the discussion surrounding impact measurement on social enterprises (SEs). The findings provide a more nuanced perspective on tensions that often emerge from SEs journeys by presenting the complexities which social entrepreneurs and investors should be attentive to.

This research used grounded theory as the means to explore how stakeholders accomplish the requirements for impact measurement, overcoming the challenges that arise in the process. Through 18 semi-structured interviews, the authors develop a conceptual model to better understand how a practice that is often taken for granted might compromise SEs achievements and sustainability in the long term.

The proposed model uncovered an unintended consequence of impact measurement: mission drift. The requirements to assess the social impact raise expectations on different actors and create challenges that affect the true purpose of SEs, the delivery of their social mission.

This study contributes to research and practice. First, the authors develop a theoretical model for social entrepreneurs and social investors to shed light on the hidden consequences of impact measurement. Second, the authors strengthen the knowledge in the field by conducting a study on SEs outside the mainstream Western-centric context.

The authors enrich the literature by exploring the tensions related to impact measurement in SEs in the Global South and unravel new perspectives on the subject.

Microfinancing is one of the most essential tools for fighting world poverty. But what if microfinancing were a living entity like all of us? How would microfinancing narrate its life story to the world? The current viewpoint essay generates critical reflections on microfinancing, in the light of contemporary observations, experiences, literature reviews and logical reasoning and narrates the autobiography of microfinancing in its own words.

The paper adopts a first-person omniscient methodology, where microfinancing is the narrator of its life story. Microfinancing is well aware of its perception among other characters (stakeholders), such as practitioners, academics, researchers and lawmakers.

The paper concludes that microfinancing can eradicate world poverty. However, to do so, microfinancing should achieve financial sustainability. While the institutionalists support the financial self-reliance of microfinancing, welfarists contend for donor-based support. Some argue that financial objectives cause a drift in the social mission of microfinancing (mission drift), for which it was conceived in the first place. Nevertheless, in line with the contemporary literature, the current essay, while narrating the story of microfinancing, strongly supports its institutionalization. It is only through financial sustainability that microfinancing can continue its fight against world poverty.

Focusing on the institutionalization of microfinancing should provide practical implications for managers.

The viewpoint supports the fight against world poverty via the sustainability of the microfinancing sector.

In a unique way of narrating the autobiography, the essay intends to draw significant attention to the sustainability of microfinancing. The paper intends to draw more attention toward research on the microfinancing sector to fight world poverty.

Many industries use non-Newtonian ternary hybrid nanofluids (THNF) because of how well they control rheological and heat transport. This being the case, this paper aims to numerically study the Casson-Williamson THNF flow over a yawed cylinder, considering the effects of several slips and an inclined magnetic field. The THNF comprises Al₂O₃-TiO₂-SiO₂ nanoparticles because they improve heat transmission due to large thermal conductivity.

Applying suitable nonsimilarity variables transforms the coupled highly dimensional nonlinear partial differential equations (PDEs) into a system of nondimensional PDEs. To accomplish the goal of achieving the solution, an implicit finite difference approach is used in conjunction with Quasilinearization. With the assistance of a script written in MATLAB, the numerical results and the graphical representation of those solutions were ascertained.

As the Casson parameter β increases, there is an improvement in the velocity profiles in both chord and span orientations, while the gradients Re1/2Cf, Re1/2C¯f reduce for the same variations of β. The velocities of Casson THNF are greater than those of Casson-Williamson THNF. Approximately, a 202% and a 32% ascension are remarked in the magnitudes of Re1/2Cf and Re1/2C¯f for Casson-Williamson THNF than the Casson THNF only. When velocity slip attribute S1 jumps to 1 from 0.5, magnitude of both F(ξ,η) and Re1/2Cf fell down and it is reflected to be 396% at ξ=1, Wi=1 and β=1. An augmentation in thermal jump results in advanced fluid temperature and lower Re−1/2Nu. In particular, about 159% of down drift is detected when S2 taking 1.

There is no existing research on the effects of Casson-Williamson THNF flow over a yawed cylinder with multiple slips and an angled magnetic field, according to the literature.

This study aims to contribute to the literature on migration by examining the nexus between migration-related fears and housing affordability in France, Germany, the UK and the USA using new datasets for migration-related fears.

This study adopts the feasible quasi-generalized least squares approach wherein a predictor can be isolated in the estimation process. Thus, rather than specifying a multi-predictor model that may also lead to parameter proliferation, a single-predictor model (for the predictor of interest) is formulated while also accounting for other salient features resulting from suppressing other important factors that may not be of interest to the current study. Such salient features include persistence, endogeneity and conditional heteroscedasticity issues.

Overall, the results show heterogeneous responses of housing affordability to migration fears across the four developed countries, as the latter deteriorates housing affordability in Germany and the USA and improves it in France and the UK. Similarly, the GFC makes housing less affordable in all four countries as low interest rate passes the mediation test in the nexus. The results, especially for low interest rates, are robust to different uncertainty measures.

As is often the case with economic phenomena, no single model can capture all the factors influencing an economic variable. Thus, besides examining the nexus between migration fears and housing affordability, the authors also account for the role of GDP per capita, given the influence of population and income dynamics on housing affordability. However, incorporating GDP per capita alone does not substantially enhance the model’s ability to predict housing affordability. Future research should explore additional macroeconomic and social factors, such as human capital development, to further enhance this subject.

The findings have significant implications for policymakers regarding the use of low interest rates to counteract the adverse effects of migration-related fear on housing affordability. Specifically, to mitigate the potential negative impact of migration and the associated fear on housing affordability, monetary authorities could adopt a more accommodative stance on mortgages. By allowing real estate investors to obtain loans at lower rates, this approach would help increase housing supply and reduce the housing gap exacerbated by migration influx.

The values of this study lie in its examination of housing affordability in relation to migration fears from both the demand and supply sides of the market. Furthermore, the analyses are conducted to cover out-of-sample forecast evaluation as in-sample predictability may not guarantee out-of-sample prediction.