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Analysis of relationship between energy and growth offers the sustainable energy pathway for a country’s sustainable economic development. This study aims to focus on the evaluation of the Pakistan’s energy system using long-run energy alternative planning (LEAP) modeling framework through different growth scenarios.

Principal component analysis has been adopted for indicators index formation. Study period of 1980 to 2030 is covered by forward and backward simulations in LEAP software.

The study reveals that current energy policy does not have the potential to lead the country toward a desired goal of economic sustainability.

In falling off scenario, negative growth rate (-5 per cent) assumption is also debatable; LEAP shows an error in the analysis and takes the last positive available value for any further analysis as a default. This case could have been simply omitted from results but for research contribution, the computations for this case are also reported.

Long-range energy alternative planning model has been applied to answer the corresponding question for simulation period of 1980 to 2030 to better compare the past trend and future expectations. Critical analysis of four selected scenarios (BAU, moderate, advanced and falling off) indicate that energy policy of Pakistan is poorly managed to maintain energy system’s effectiveness.

As far as statistical difference is concerned, early years have more fluctuation; however, from 2009, curve flattens for energy consumption and energy demand. The increasing demand of energy impacts the society and hence disturbs all sectors.

Policymakers have been so dragged off from the main route to sustainability, despite all odds there is a huge unexplored potential in the country for use to move in step with the world for a better tomorrow. The study educates the policymakers to comprehend the future energy scenarios and make rational decisions based on the study outcomes.

The purpose of this paper is to provide a comparative overview of existing energy system models to see whether they are suitable for analysing energy, environment and climate change policies of developing countries.

The paper reviews the available literature and follows a systematic comparative approach to achieve its purpose.

The paper finds that the existing energy system models inadequately capture the developing country features and the problem is more pronounced with econometric and optimisation models than with accounting models.

Inaccurate representation of energy systems in the models can lead to inaccurate decisions and poor policy prescriptions. Thus, the paper helps policy makers and users to be aware of the possible pitfalls of various energy system models.

The purpose of the paper is to introduce SHERPA‐LEAP, a model for the consortial development, population and support of e‐prints repositories.

The organisational and technical structures of the consortium are described, including a brief summary of central and local resource responsibilities. Some positive and negative aspects of a consortial approach to institutional repository development, and of the SHERPA‐LEAP model in particular, are identified. Outstanding issues and future plans for the consortium are outlined.

SHERPA‐LEAP is shown to be succeeding in its aims of developing and supporting e‐prints repositories within the federal University of London. Some lessons learned from the SHERPA‐LEAP approach are identified, but the SHERPA‐LEAP consortial model is found to have been mostly beneficial to the participating institutions. In particular, the networking and experience‐sharing opportunities which any consortial solution will facilitate are highly‐valued by the SHERPA‐LEAP partners.

The paper is intended to help to inform the decision making of institutions and consortia, which are considering consortial solutions to the establishment, and maintenance of institutional repositories.

This paper aims to overcome the problem that the single structure of the driving term of the grey prediction model is not adapted to the complexity and diversity of the actual modeling objects, which leads to poor modeling results.

Firstly, the nonlinear law between the raw data and time point is fully mined by expanding the nonlinear term and the range of order. Secondly, through the synchronous optimization of model structure and parameter, the dynamic adjustment of the model with the change of the modeled object is realized. Finally, the objective optimization of nonlinear driving term and cumulative order of the model is realized by particle swarm optimization PSO algorithm.

The model can achieve strong compatibility with multiple existing models through parameter transformation. The synchronous optimization of model structure and parameter has a significant improvement over the single optimization method. The new model has a wide range of applications and strong modeling capabilities.

A novel grey prediction model with structure variability and optimizing parameter synchronization is proposed.

The highlights of the paper are as follows:

1. A new grey prediction model with a unified nonlinear structure is proposed.

2. The new model can be fully compatible with multiple traditional grey models.

3. The new model solves the defect of poor adaptability of the traditional grey models.

4. The parameters of the new model are optimized by PSO algorithm.

5. Cases verify that the new model outperforms other models significantly.

A new grey prediction model with a unified nonlinear structure is proposed.

The new model can be fully compatible with multiple traditional grey models.

The new model solves the defect of poor adaptability of the traditional grey models.

The parameters of the new model are optimized by PSO algorithm.

Cases verify that the new model outperforms other models significantly.

The primary purpose of this paper is to merge two traditions in management accounting change – design theory and action research – to explain findings from a case study of introducing a cost leadership initiative.

This paper is an example of action research in which design theory explains events related to the implementation of a strategic cost leadership initiative at Shell Gabon, a Royal Dutch Shell unit in West Africa.

The evidence shows that technical accounting changes are, in the final analysis, change management exercises. Implementing change requires thinking as a designer and employing the logic of conjecture rather than scientific deductive or inductive reasoning. Successful implementation requires conjuring an image of a future reality that does not currently exist and making that image persuasive by connecting it with the values of the organizational participants.

This case study provides five key lessons for future designers of accounting change. Implementers should: understand the mental models of organizational participants; show respect for the cultural values of the organization they are working in; meaningfully engage organizational participants; use structured processes to unfold change; and be ready to seize new opportunities and discard old game plans when necessary. The case study also reveals gaps in existing change management models and behavioural accounting theories.

This paper offers design theory as an alternative way of viewing organizational change and offers criteria for evaluating the use of design as a process and for assessing the value of the implemented change.

District-university partners increasingly rely on “grow-your-own” licensure programs to address teacher shortages. Because vacancies in special education represent a chronic issue, our district-university partnership developed LEAP – the Licensed Educators’ Accelerated Pathway, successfully preparing 26 paraprofessionals as special education teachers (SEs). We describe a model university-district partnership in which we collaborated to design and implement paraprofessionals’ SE licensure program.

In this general review, we describe a district-university partnership collaboration that resolved barriers experienced by paraprofessionals working toward licensure in special education (Essential #4, Reflection and Innovation). The specialized design and partnership solutions were grounded in SE preparation research literature.

25 (28 entered the program and 25 completed) paraprofessionals from one large urban and several regional districts completed special education licensure through LEAP. Slightly more than half of LEAP participants were Black or Hispanic (see Table 1), contributing to the diversification of SE workforce. University-district partnership was successful in designing and delivering a program that allowed participants: a) to remain employed, b) attend evening classes in their geographic region or online, c) complete all field experiences in sponsoring districts (Essential #2) and d) receive concierge advising from a “completion coach.” We describe solutions to barriers experienced by paraprofessionals and advocate for district-university collaboration to address chronic teacher shortages.

Limitations include lack of data on success of program completers during their first year of teaching as they began this work in Fall 2023. Further, because the participating district was large and urban, generalization of program details for small and rural districts is difficult.

Practical tips for developing grow-your-own special education licensure programs are providing. Detailed descriptions of barriers candidates experienced and ways the district-university partners resolved these issues are included. Programs like the one described has the potential to positively impact teacher pipeline issues.

The program described provided highly-trained teachers to fill chronic vacancies in special education in three participating districts/agencies. Because students receiving special education services are at risk for school failure and are disproportionately impacted by teacher turnover, addressing this area through grow-your-own licensure programs represents a diversity, equity and inclusion initiative. Further, upskilling diverse paraprofessionals to licensed teacher roles represent an economic boost, which they might not otherwise have achieved.

Available research literature signals alarm over persistent teacher shortages in hard-to-staff districts and lack of diversity in the teacher workforce, but few published accounts describe successful programs. Partner collaboration fostered a re-imagining of course formatting and delivery to accommodate adult learners, avoiding problems often reported with alternative programs.

Many public issues, such as environmental actions, involve a large number of diverse stakeholders such as governments, corporations, organizations (e.g. NGOs), and concerned citizens. Discussions frequently become contentious as the stakeholders defend their potentially conflicting goals with various assumptions, views, and expert testimony. These issues also tend to involve a range of fields. For example, the disposition of nuclear waste includes issues of economics, science, engineering, politics, and intergenerational justice, each with large uncertainties due to dependences on indirect estimations and the long time periods involved. At the same time that these complex issues might increase in number, due to applications of new technologies, tools are being developed on the Internet to enable flexible learning, visualization, collaborative conferencing, distributed computing, and meaning‐based (semantic) context. These tools might enable improved techniques for debating and discussing these complex issues. A technique that might facilitate orderly discussion of various arguments would include explicit recording and visualization of the evidence, its assumptions and uncertainties, their relationships in constructing the overall argument, and the ways the evidence needs to be generalized to support the argument. A simple argument visualization approach is explored based on a combination of an argument logic framework and techniques for fusing generalized data that are similar to kriging in spatial analysis. This approach is then applied to a recently contested risk analysis of nuclear waste disposition that was debated in a peer‐reviewed journal, involving concerns about uses of data, complex computational models, uncertainty analysis, and expert judgment. The need for wider understanding of such complex issues might be addressed by a convergence of techniques to facilitate greater understanding and the advanced Internet technologies to lower barriers to their adoption.

Digital India, the flagship programme of Government of India (GoI) originated from National e-Governance Project (NeGP) in the year 2014. The programme has important aspect of information security and implementation of IT policy which supports e-Governance in a focused approach of Mission Mode. In this context, there is a need to assess situation of the programme which covers a study of initiatives and actions taken by various actor involved and processes which are responsible for overall e-Governance. Therefore, the purpose of this case study is to develop a Situation-Actor-Process (SAP), Learning-Action-Performance (LAP) based inquiry model to synthesize situation of information security governance, IT policy and overall e-Governance.

In this case study both systematic inquiry and matrices based SAP-LAP models are developed. Actors are classified who are found responsible and engaged in IT policy framing, infrastructure development and also in e-Governance implementation. Based on a synthesis of SAP components, various LAP elements were then synthesized then which further led to learning from the case study. Suitable actions and performance have also been highlighted, followed by a statement of the impact of the efficacy i.e. transformation of information security, policy and e-Governance on the Digital India programme.

On developing the SAP-LAP framework, it was found that actors like the Ministry of Electronics and Information Technology of the Govt. of India secures a higher rank in implementing various initiatives and central sector schemes to accelerate the agenda of e-Governance. Actions of other preferred actors include more investments in IT infrastructure, policy development and a mechanism to address cyber security threats for effective implementation of e-Governance. It was found that actors should be pro-active on enhancing technical skills, capacity building and imparting education related to ICT applications and e-Governance. Decision making should be based on the sustainable management practices of e-Governance projects implementation to manage change, policy making and the governmental process of the Indian administration and also to achieve Sustainable Development Goals by the Indian economy.

The SAP-LAP synthesis is used to develop the case study. However, few other qualitative and quantitative multi criteria decision making approaches could also be explored for the development of IT security based e-Governance framework in the Indian context.

The synthesis of SAP leads to LAP components which can bridge the gaps between information security, IT policy governance and e-Governance process. Based on the learning from the Situation, it is said that the case study can provide decision making support and has impact on the e-Governance process i.e. may enhance awareness about e-services available to the general public. Such work is required to assess the transparency and accountability on the Government.

Learning based on the SAP-LAP framework could provide decision making support to the administrators, policy makers and IT sector stakeholders. Thus, the case study would further help in addressing the research gaps, accelerating e-Governance initiatives and in capturing cyber threats.

The SAP-LAP model is found as an intuitive approach to analyze the present status of information security governance, IT policy and e-Governance in India in a single unitary model.

This study aims to predict China's carbon emission intensity and put forward a set of policy recommendations for further development of a low-carbon economy in China.

In this paper, the Interaction Effect Grey Power Model of N Variables (IEGPM(1,N)) is developed, and the Dragonfly algorithm (DA) is used to select the best power index for the model. Specific model construction methods and rigorous mathematical proofs are given. In order to verify the applicability and validity, this paper compares the model with the traditional grey model and simulates the carbon emission intensity of China from 2014 to 2021. In addition, the new model is used to predict the carbon emission intensity of China from 2022 to 2025, which can provide a reference for the 14th Five-Year Plan to develop a scientific emission reduction path.

The results show that if the Chinese government does not take effective policy measures in the future, carbon emission intensity will not achieve the set goals. The IEGPM(1,N) model also provides reliable results and works well in simulation and prediction.

The paper considers the nonlinear and interactive effect of input variables in the system's behavior and proposes an improved grey multivariable model, which fills the gap in previous studies.

Firms take design leaps when they imitate an established business model developed either by another firm or in another market to create business opportunities. While recent research has suggested the use of contextual intelligence for imitation, the exact process of adaptation of a business model is not fully understood. The purpose of this paper is to outline the process through which an emerging market firm adapts a developed market business model for creating business opportunities in the local market.

This paper investigates the journey of Air Deccan, the pioneer low-cost airline in India, from its founding until its successful adaptation of a (Western) business model and eventual failure. The authors use a qualitative case-based approach to study business model adaptation.

The authors find that adaptation involves the incorporation of following design features: novelty to overcome problem of institutional voids, elasticity to exploit unexpected increase in demand and efficiency to serve large volumes. Based on the evidence, the authors suggest the introduction of global efficiency measures as the boundary conditions of business model adaptation in emerging markets.

The paper contributes to the literature on business models by suggesting elasticity as a unique design feature relevant for emerging markets. This paper provides granular understanding of business model toxicity.

Entrepreneurs and managers – looking to enter emerging markets through opportunity creation – should focus on providing contextually novel design features in the adapted business model. The authors also caution practitioners against the perils of toxicity arising out of combining contextual novelty with efficiency.

Recent literature suggests that multinationals need contextual intelligence to successfully monetize their investment in emerging economies. This paper provides rich description of the challenges faced by entrepreneurs in emerging markets, local innovations used to overcome them and boundary conditions.