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The purpose of this paper is to propose a comprehensive version of a hybrid autoregressive integrated moving average (ARIMA), and artificial neural networks (ANNs) in order to yield a more general and more accurate hybrid model for exchange rates forecasting. For this purpose, the Kalman filter technique is used in the proposed model to preprocess and detect the trend of raw data. It is basically done to reduce the existing noise in the underlying data and better modeling, respectively.

In this paper, ARIMA models are applied to construct a new hybrid model to overcome the above-mentioned limitations of ANNs and to yield a more general and more accurate model than traditional hybrid ARIMA and ANNs models. In our proposed model, a time series is considered as a function of a linear and nonlinear component, so, in the first phase, an ARIMA model is first used to identify and magnify the existing linear structures in data. In the second phase, a multilayer perceptron is used as a nonlinear neural network to model the preprocessed data, in which the existing linear structures are identified and magnified by ARIMA and to predict the future value of time series.

In this paper, a new Kalman filter based hybrid artificial neural network and ARIMA model are proposed as an alternate forecasting technique to the traditional hybrid ARIMA/ANNs models. In the proposed model, similar to the traditional hybrid ARIMA/ANNs models, the unique strengths of ARIMA and ANN in linear and nonlinear modeling are jointly used, aiming to capture different forms of relationship in the data; especially, in complex problems that have both linear and nonlinear correlation structures. However, there are no aforementioned assumptions in the modeling process of the proposed model. Therefore, in the proposed model, in contrast to the traditional hybrid ARIMA/ANNs, it can be generally guaranteed that the performance of the proposed model will not be worse than either of their components used separately. In addition, empirical results in both weekly and daily exchange rate forecasting indicate that the proposed model can be an effective way to improve forecasting accuracy achieved by traditional hybrid ARIMA/ANNs models.

In the proposed model, in contrast to the traditional hybrid ARIMA/ANNs, it can be guaranteed that the performance of the proposed model will not be worse than either of the components used separately. In addition, empirical results in exchange rate forecasting indicate that the proposed model can be an effective way to improve forecasting accuracy achieved by traditional hybrid ARIMA/ANNs models. Therefore, it can be used as an appropriate alternate model for forecasting in exchange ratemarkets, especially when higher forecasting accuracy is needed.

The purpose of this research is to explore the nature of virtual tipping in live game streaming from the perspective of tippers.

This qualitative research involved six naturalistic group interviews with 27 young adult game streaming tippers in China.

The research revealed a typology of four virtual tipping exchanges – perfunctory exchange, transactional (commodity) exchange, relational (gift) exchange and hybrid exchange. The most notable finding is hybrid exchange, a synergistic hybrid of transaction and gift-giving.

The authors recommend that both streamers and streaming platforms acknowledge and accommodate both transactional and relational tipping motivations. The authors also recommend platforms to recruit skillful streamers with high emotional intelligence to better convert perfunctory tippers into tippers who tip more generously.

The result of hybrid exchange suggests going beyond the traditional commodity vs gift dichotomy to examine the potential market-gift complementary in a single exchange in the sharing economy.

The purpose of this paper is to deepen the understanding of subsistence exchange practices and their contribution to international marketing theory and practice. It draws on the notion of embeddedness to examine the hybrid exchange practices unfolding within subsistence communities, and between subsistence communities and (international) firms.

The paper reports two ethnographic studies conducted in low-income farming and slum communities in Uganda and Kenya, respectively. Both studies involved participant observation, interviews, field note-taking and visual methods.

The findings demonstrate that hybrid exchange systems prevail in subsistence contexts, supporting both market and non-market logics simultaneously. Actors remain deeply embedded in their social worlds during exchange, making it problematic to disentangle social relations from market exchanges.

The study suggests implications for international firms interested in forging business partnerships with subsistence actors. It calls for international marketers to surpass the traditional marketing roles and develop competences that enable firms to meaningfully embed in subsistence contexts. Further research could explore how international marketers could develop such competences.

The paper draws from diverse exchange literature to demonstrate how subsistence actors become actively involved in shaping hybrid exchanges that (potentially) incorporate international firms. The study calls for a broader understanding of international marketing, which accounts for the embedded marketing practices entailed in serving subsistence markets. It concludes that categorizing exchanges as either economic or social is problematic as both forms co-evolve to constitute multiple levels of intra-community, local marketplace and extensive hybrid exchanges.

This paper aims to consider the legitimacy challenges faced by hybrid organizations, examining the narrative strategies hybrids use in responding to these challenges and offering a framework for managers to consider in their choice of narratives.

A narrative analysis of texts addressing the legitimacy of the business models used by four hybrid organizations is conducted.

The results of the analysis suggest that the nature of conflicting stakeholder demands – centered on goals or means – is an integral factor influencing hybrids’ choice of narrative strategies to emphasize distinctiveness or conformity.

This paper adds to extant research examining the challenges hybrid organizations face and emphasizes that the choice of narrative strategies is an important factor hybrids must consider when managing legitimacy. Generalizability is a notable limitation of the case approach; the authors suggest areas for future research to address this limitation.

The research offers a practical framework for hybrids’ leaders, as they manage legitimacy, choosing to emphasize distinctiveness or conformity in the face of conflicts regarding goals or means.

By studying the legitimacy challenges faced by hybrid organizations, this study can form a more complete view of legitimation, encompassing different types of enterprises offering distinct value propositions.

This paper aims to examine the role of technology in shaping the interplay between intimate and economic relations in collaborative consumer networks (CCNs).

This research is based on a three-year participatory netnographic and ethnographic field study of hosts, guests and community members within the Airbnb home-sharing network in New Zealand. The data consist of interviews, online and offline participant observations and brief discussions onsite (large-scale Airbnb events, host meetups and during Airbnb stays).

The findings reveal how technologies shape the relational work of home-sharing between intimate and economic institutions through grooming, bundling, brokerage, buffering and social edgework. This paper proposes a framework of triadic relational work enacted by network actors, involving complex exchange structures.

This study focusses on a single context – a market-mediated home-sharing platform. The findings may not apply to other contexts of economic and social exchanges.

The study reveals that the construction of specific relational packages by Airbnb hosts using their digital technologies pave a path for home-sharing to skirt the norms of the home as a place of intimacy and the market as a place for economics. This allows these two spheres to flourish with little controversy.

By augmenting Zelizer’s relational work, this study produces theoretical insights into the agentic role of technology in creating and stabilising a CCN.

We introduce the concept of social-economic innovation (SEI) and point to cultural challenges involved in instituting SEI. In the second part of the paper, we delve into the alternative exchange system of “Housing for help” (HFH) to explore the challenging negotiation of roles and relations by participants and organizers of HFH.

The study primarily relies on interviews conducted with HFH participants and organizers.

We outline the challenges of categorization and slippage in social-economic exchange systems that combine multiple logics of exchange. While primarily focused on the micro context of relational dynamics occurring between participants, the respective cultural challenges are also discussed in light of institutional problems.

The introduction of the concept of SEI prepares ground for a more coordinated study of the cultural processes and challenges involved in instituting unconventional social-economic systems. The paucity of existent research and the preliminary nature of our study call for further investigation.

The study informs individual and institutional efforts to negotiate unconventional systems of exchange, in particularly in contexts of prolonged, intergenerational co-habitation.

We provide an umbrella concept that ties together existent research and opens new avenues for systematic cultural study. Further, we uncover a fertile context for exploration and take preliminary steps toward unraveling the challenging relational dynamics in SEI.

Recently, there has been a shift toward the embodied energy assessment of buildings. However, the impact of material service life on the life-cycle embodied energy has received little attention. We aimed to address this knowledge gap, particularly in the context of the UAE and investigated the embodied energy associated with the use of concrete and other materials commonly used in residential buildings in the hot desert climate of the UAE.

Using input–output based hybrid analysis, we quantified the life-cycle embodied energy of a villa in the UAE with over 50 years of building life using the average, minimum, and maximum material service life values. Mathematical calculations were performed using MS Excel, and a detailed bill of quantities with >170 building materials and components of the villa were used for investigation.

For the base case, the initial embodied energy was 57% (7390.5 GJ), whereas the recurrent embodied energy was 43% (5,690 GJ) of the life-cycle embodied energy based on average material service life values. The proportion of the recurrent embodied energy with minimum material service life values was increased to 68% of the life-cycle embodied energy, while it dropped to 15% with maximum material service life values.

The findings provide new data to guide building construction in the UAE and show that recurrent embodied energy contributes significantly to life-cycle energy demand. Further, the study of material service life variations provides deeper insights into future building material specifications and management considerations for building maintenance.

This study aims to use the thermal non-equilibrium approach to inquire the entropy production and conjugate natural heat exchange in a porous medium. Entropy generation is studied separately for the solid matrix and the hybrid nanoliquid.

The characteristic equations are unraveled by applying the finite element method. Mathematical relations are used to calculate the generated entropy for the hybrid nanoliquid and matrix structure.

Based on the results, the produced entropy and the viscous friction term associated with the hybrid nanoliquid phase are not affected by increasing the thermal conductivity ratio of the rigid wall to nanoliquid. Moreover, a higher amount of entropy is generated by the thermal gradients in the hybrid nanoliquid phase compared to the solid matrix.

No investigation in the literature has been reported in this context.

The purpose of this paper is to develop a generic framework for hybrid (integrated deployment of system dynamics and discrete event simulation) simulation which can be applied in the healthcare domain.

As hybrid simulation in an organisational context is a new topic with limited available data on deployment of hybrid simulation in organisational context, an inductive approach has been applied. On the basis of knowledge induced from literature, a generic conceptual framework for hybrid simulation has been developed. The proposed framework is demonstrated using an explanatory case study comprising an accident and emergency (A&E) department.

The framework provided detailed guidance for the development of a hybrid model of an A&E case study. Findings of this case study suggest that the hybrid model was more efficient in capturing behavioural impact on operational performances.

The framework is limited to only SD and DES; as agent‐based is another simulation method which is emerging as a promising tool for analysing problems such as spread of infectious diseases in healthcare context, inclusion of this into the framework will enhance the utility of the framework.

This framework will aid in the development of hybrid models capable of comprehending both detail as well as dynamic complexity, which will contribute towards a deeper understanding of the problems, resulting in more effective decision making.

It is expected that this research will encourage those engaged in simulation (e.g. researchers, practitioners, decision makers) to realise the potential of cross‐fertilisation of the two simulation paradigms.

Currently, there is no conceptual framework which provides guidance for developing hybrid models. In order to address this gap, this paper contributes by proposing a conceptual framework for hybrid simulation for the healthcare domain.

The description of “blockchain banking”, the determination of “the sub-processes” of “blockchain banking” as a “business process”, and the assessment of “maturity level” in Parsian Bank.

Theoretical sources on “blockchain banking” were initially investigated. Then the “sub-processes” of “blockchain banking” as a “business process” were extracted by Parsian Bank's experts through the “Delphi method”. Next, the “sequence” of the “sub-processes” was determined by means of the “AHP”. Eventually, Parsian Bank's maturity levels for all the sub-processes as well as the overall maturity level were specified on the basis of the “CMMI” V1.3 in order for Business Process Management (BPM).

Blockchain banking’ combines traditional banking with cryptocurrencies, which can be provided by merging “hybrid e-wallet” with “bank account” and “bank card” – all together as “crypto bank account”. Plus, “hybrid e-wallet” is a form of mobile e-wallet on blockchain that supports both cryptocurrencies and traditional currencies in the same platform by which the purchase and sale of cryptocurrencies are possible. Besides, “Blockchain banking service” can also be offered within the framework of “open banking” aligned with “open innovation” through a FinTech (or a beta bank) in collaboration with a licensed bank via “open API”, which is called “blockchain banking based on FinTech”. At last, the eight sub-processes of “blockchain banking” were determined and Parsian Bank's “maturity level” was specified.

This is the very first practical guide to “blockchain banking service”.