Strategic Advice Research Articles

“The SALC is mine!”: Supporting the Development of Learner Agency and Reconfiguration of Language Learning Environments Beyond the Classroom

This study explores the process of how a learner recognises the value of a Self-Access Learning Center (SALC) and takes charge of her own learning through self-reflection of her language learning environments beyond the classroom as well as her ideal future self-image as a motivational factor. A university student who majors in English drew a mind map as a tool to reflect on her learning activities beyond the classroom before and after engaging in various reflective activities. Employing a qualitative narrative case study approach, multiple data sources, which included two mind maps, written descriptions of them, and a follow-up semi-structured interview, were analysed from an ecological perspective. The findings show that the learner’s self-reflection on her learning environments beyond the classroom, as well as her stronger image of ideal future-self, guided her to step forward to take action to engage with the SALC to create a meaningful space to achieve her goals. The learner’s self-reflection on her engagement with the environments, strategic advice from her friends, and a clearer image of her ideal future self are seen as key factors for the development of her learner agency. The benefits of teachers including self-reflection during class time on learning beyond the classroom as an aid to develop learner agency are also outlined.

Commentary on the harm reduction reference group of justice health and forensic mental health network and corrective services NSW, Australia.

This commentary aims to reveal how a steering committee has effectively responded to advancing accessibility to harm reduction resources, hepatitis C virus (HCV) policy and health strategies within adult prison settings in New South Wales (NSW). By reviewing the audit approach taken by the of the Justice Health and Forensic Mental Health Network and Corrective Services New South Wales Harm Reduction Reference Group (JHFMHN/CSNSW HRRG), this commentary emphasizes the committee's success in identifying contemporary harm reduction issues that affect people in custodial settings. This commentary is a compilation of data gathered through the 2018 JHFMHN/CSNSW HRRG audit and corresponding program materials. Conclusions regarding the effectiveness of the working group's audit were drawn by critically appraising the JHFMHN/CSNSW HRRG's Final Audit Report (JHFMHN and CSNSW, 2018) with reference to current harm reduction literature. The HRRG has provided leadership, professional representation and strategic advice on the development, implementation, monitoring and evaluation of best practice harm reduction strategies in prison settings. The HRRG developed and maintained networks and information exchange between the state-wide HCV health network, corrections services and the NSW harm reduction sector at large. Public health partnerships and advocacy that involve all key players, such as the HRRG, will continue to be crucial to remove barriers to enhancing HCV harm reduction measures especially in NSW prison settings. Strategies such as primary prevention and treatment can mitigate the spread of HCV in the custodial system. This audit of access to harm reduction resources was conducted on behalf of the diverse group of professionals, scholars and stakeholders comprising the HRRG. This audit and other advocacy efforts of this committee can facilitate future access to quality healthcare and the necessary policies required to support a healthier prison population at large. Collaborating with health authorities, researchers and social service workers can enable prison health-care systems to be guided by wider health workforce programs and public health standards. This collaboration can reduce the professional isolation of custodial health-care staff and promote a balanced approach to harm reduction policies by ensuring an equitable focus on both health and security imperatives.

Passively wait for gridlock, or proactively invest in service? Strategies to promote car-to-transit switches among aspirational urbanites in rapidly developing contexts

As planners and policymakers in cities around the world struggle to attract and retain public transit users, this paper explores strategies to promote transit adoption in contexts where the odds are stacked against transit. Using travel behavior data from India's National Capital Region – one of the most congested metropolitan areas globally that is experiencing unprecedented growth in personal vehicle ownership and plummeting transit ridership – this study analyzes the choice of intra-urban (metro) rail over personal car for commute trips within a specific population sub-group that is fast adopting the personal car and exiting the transit market. The objective of this mode choice analysis that employs both logistic regression modeling and the propensity-score matching technique is to identify multi-modal service quality/performance factors that determine metro rail vs. car choice, and thereby recommend efficient and effective interventions for inducing car-to-transit switches in addition to retaining existing transit riders. Results suggest that increasing metro rail's travel time competitiveness relative to car (particularly for long distance commuters), service frequency and safety level, and raising car parking cost at the destination can increase the likelihood of choice of metro rail over car in the study context. Interestingly, increase in traffic congestion and travel time unreliability of the car mode are not expected to automatically boost the demand for metro rail use, all else equal. As the momentum towards more car adoption continues, this study shows that deteriorating traffic conditions may not push drivers out of cars; rather, public transit has to step up and pull drivers out of cars. For planners and policymakers, this study indicates that rather than passively waiting for driving conditions to worsen, they should proactively invest in transit service quality improvements. This study also highlights the importance of communicating service changes to the traveling public in order to efficiently translate interventions to behavior changes, given the dissonance between travelers' perceptions of multi-modal travel conditions and actual travel conditions. This paper further demonstrates that analysis of travelers' perception errors, including variation in error across travelers, is important for accurately modeling travel behavior changes in response to interventions. The findings add to the literature on mode choice analysis, and provide strategic advice for transit agencies in India and across other comparable contexts globally.

Diverse integrated ecosystem approach overcomes pandemic-related fisheries monitoring challenges

The COVID-19 pandemic caused unprecedented cancellations of fisheries and ecosystem-assessment surveys, resulting in a recession of observations needed for management and conservation globally. This unavoidable reduction of survey data poses challenges for informing biodiversity and ecosystem functioning, developing future stock assessments of harvested species, and providing strategic advice for ecosystem-based management. We present a diversified framework involving integration of monitoring data with empirical models and simulations to inform ecosystem status within the California Current Large Marine Ecosystem. We augment trawl observations collected from a limited fisheries survey with survey effort reduction simulations, use of seabird diets as indicators of fish abundance, and krill species distribution modeling trained on past observations. This diversified approach allows for evaluation of ecosystem status during data-poor situations, especially during the COVID-19 era. The challenges to ecosystem monitoring imposed by the pandemic may be overcome by preparing for unexpected effort reduction, linking disparate ecosystem indicators, and applying new species modeling techniques.

On the emotional dynamics of guided strategizing: An affective view on strategy-making directed by strategy consultants

While work on affect in strategy-making has been increasingly developing, relatively little research has been conducted on the emotional dynamics of strategy processes directed by strategy consultants. Drawing on a variety of qualitative data gathered during a 1-year consulting case, this article looks into the way emotions unfold when managers solicit external strategic advice. Specifically, this article reveals the mechanisms underpinning managers’ emotions in guided strategy-making from pre- to post-strategizing, highlighting processes as they develop over time. In doing so, three fundamental emotional drivers are laid bare: interaction—or how practitioners engage with each other; temporality—or how practitioners engage with time; and impression—or how practitioners engage with mental representations of strategy-making and strategy consultancy. By revealing how emotions evolve when managers find themselves strategically directed, this article offers insight into how a guided strategy-making trajectory can be affectively managed—to make sense of emotions when they unfold, and to address them appropriately as they do.

Strategic Advice Provision in Repeated Human-Agent Interactions

This paper addresses the problem of automated advice provision in settings that involve repeated interactions between people and computer agents. This problem arises in many real world applications such as route selection systems and office assistants. To succeed in such settings agents must reason about how their actions in the present influence people's future actions. This work models such settings as a family of repeated bilateral games of incomplete information called ``choice selection processes'', in which players may share certain goals, but are essentially self-interested. The paper describes several possible models of human behavior that were inspired by behavioral economic theories of people's play in repeated interactions. These models were incorporated into several agent designs to repeatedly generate offers to people playing the game. These agents were evaluated in extensive empirical investigations including hundreds of subjects that interacted with computers in different choice selections processes. The results revealed that an agent that combined a hyperbolic discounting model of human behavior with a social utility function was able to outperform alternative agent designs, including an agent that approximated the optimal strategy using continuous MDPs and an agent using epsilon-greedy strategies to describe people's behavior. We show that this approach was able to generalize to new people as well as choice selection processes that were not used for training. Our results demonstrate that combining computational approaches with behavioral economics models of people in repeated interactions facilitates the design of advice provision strategies for a large class of real-world settings.

Strategic Advice Provision in Repeated Human-Agent Interactions (Abstract)

This paper addresses the problem of automated advice provision in settings that involve repeated interactions between people and computer agents. This problem arises in many real world applications such as route selection systems and office assistants. To succeed in such settings agents must reason about how their actions in the present influence people's future actions. The paper describes several possible models of human behavior that were inspired by behavioral economic theories of people's play in repeated interactions. These models were incorporated into several agent designs to repeatedly generate offers to people playing the game. These agents were evaluated in extensive empirical investigations including hundreds of subjects that interacted with computers in different choice selections processes. The results revealed that an agent that combined a hyperbolic discounting model of human behavior with a social utility function was able to outperform alternative agent designs. We show that this approach was able to generalize to new people as well as choice selection processes that were not used for training. Our results demonstrate that combining computational approaches with behavioral economics models of people in repeated interactions facilitates the design of advice provision strategies for a large class of real-world settings.

ANALISIS PERRGESERAN STRUKTUR EKONOMI DAN POLA PERTUMBUHAN EKONOMI KOTA PAREPARE

The potential of an area can be identified through the identification of leading sectors. The purpose of this study is to determine the shift in economic structure and patterns of economic growth in Parepare City, using several analytical approaches. This research seeks to analyze and provide information related to shifts in economic structure or solutions to increase economic growth and provide strategic and policy advice. This study is a quantitative descriptive study. The data used is secondary data. Data analysis techniques were carried out through literature studies and publications published by BPS. Then the data were analyzed using Location Quotient (LQ) analysis tools, Shift Share analysis, and Klassen Typology analysis. The results of the study indicate that there has been a shift in the economic structure from agriculture (primary sector) and industry (secondary sector) to the service sector (tertiary sector) while the economic sectors that are included in the developed sector and grow rapidly in the first quadrant are Electricity Procurement and Gas, Water Supply, Waste Treatment, Waste and Recycling, Transportation and Warehousing, Provision of Accommodation and Food and Drink, Financial and Insurance Services, Real Estate, Health Services, and Social Activities., Corporate Services. The results of the Shift Share analysis show that there has been a shift in the economic structure. from industry (secondary) to services (tertiary). Location quotient (LQ) analysis results show that the base sector includes fourteen sectors including four industrial sectors and nine service sectors, while the non-base sector has four sectors.

The role of information aggregators in tax compliance

Fifty-six percent of the US taxpaying population uses a paid tax preparer, but the effect of these tax preparation services on tax compliance is not well understood. Although governments conceal the algorithms they use to determine which taxpayers to audit, tax preparation firms with large client bases may be able to infer these algorithms and therefore offer strategic advice to taxpayers. This paper formalizes this role, using a simple asymmetric information model where agents can purchase information about the government’s enforcement rules. In a competitive market for tax preparation services, demand for tax preparers is selective and increases in taxpayer income. Moreover, the presence of tax preparers always reduces compliance when tax preparers have perfect information. Perhaps surprisingly, if the demand for strategic advice is high enough, the government can mitigate evasion by revealing full information about its audit rule. Alternatively, when the tax preparers have imperfect information about the audit rule, if the top income within an audit class is low enough, the government can utilize tax preparer firms to increase compliance by influencing the audit information available to these firms.

Assessing the State of Coupled Social-Ecological Modeling in Support of Ecosystem Based Fisheries Management in the United States

There has been a proliferation of coupled social-ecological systems (SES) models created and published in recent years. However, the degree of coupling between natural and social systems varies widely across the different coupled models and is often a function of the disciplinary background of the team conducting the research. This manuscript examines models developed for and used by NOAA Fisheries in support of Ecosystem Based Fisheries Management (EBFM) in the United States. It provides resource managers and interdisciplinary scientists insights on the strengths and weaknesses of the most commonly used SES models: end-to-end models, conceptual models, bioeconomic models, management strategy evaluations (MSEs), fisher behavior models, integrated social vulnerability models, and regional economic impact models. These model types are not unique to the literature, but allow us to differentiate between one-way coupled models – where outputs from one model are inputs into a second model of another discipline with no feedback to the first model, and two-way coupled models – where there are linkages between the natural and social system models. For a model to provide useful strategic or tactical advice, it should only be coupled to the degree necessary to understand the important dynamics/responses of the system and to create management-relevant performance metrics or potential risks from an (in)action. However, one key finding is to not wait to integrate! This paper highlights the importance of “when” the coupling happens, as timing affects the ability to fully address management questions and multi-sectoral usage conflicts that consider the full SES for EBFM or ecosystem based management (EBM) more generally.

Life Expectancy in Duchenne Muscular Dystrophy: A Systematic Review and Reconstructed Individual Patient Data Meta-Analysis

Background: Duchenne Muscular Dystrophy (DMD) is a rare progressive disease, which is often diagnosed in early childhood, and causes significantly reduced life expectancy. Due to its rarity, research literature and patient numbers are limited. To fully characterise the natural history, appropriate estimates of the life-expectancy of patients with DMD are crucial.Methods: A systematic review of the published literature on mortality in DMD up until July 2020 was undertaken, specifically focusing on publications in which Kaplan-Meier (KM) survival curves with age as a time-scale were presented. These were digitised and individual patient data (IPD) reconstructed. The pooled IPD were analysed using the Kaplan-Meier estimator and parametric survival analysis models. Estimates were also stratified by birth cohort.Findings: Of 1177 articles identified, 14 publications met the inclusion criteria and provided data on 2283 patients, of whom 1049 had died. Median age at death was 22.0 years (95% CI: 21.2, 22.4). Analyses stratifying by three time-periods in which patients were born showed markedly increased life expectancy in more recent patient populations; patients born after 1990 have a median survival of 28.1 years (95% CI 25.1, 30.3).Interpretation: In the absence of large-scale prospective cohort studies or trials reporting mortality data for patients with DMD, extraction of IPD from the literature provides a viable alternative to estimating life-expectancy for this patient population. Further research comparing these estimates to population-level data is warranted in order to assess both possible selection effects and the generalisability of results.Funding: Duchenne UK, NIHR Research Methodology Fellowship.Declaration of Interests: JB and MH received funding from Project HERCULES. MJC and KRA were partially supported by Project HERCULES. Project HERCULES is funded by Duchenne UK, Pfizer, PTC Therapeutics, Roche, Summit Therapeutics PLC, Sarepta Therapeutics Inc, Wave Life Sciences USA Inc, Solid Biosciences, Santhera Pharmaceuticals and Catabasis Pharmaceuticals. JB is supported by a National Institute for Health Research (NIHR) Doctoral Research Fellowship. MC has served as a paid consultant, providing methodological advice, to Roche. MG is (or has been over the past 5 years) the principle investigator for clinical trials sponsored by Pfizer, Italfarmaco, Roche, Summit, Santhera, ReveraGen. She is a member of advisory boards fro NS Pharma and Pfizer (consultancy fees to Newcastle University. She received funding from Sarepta for academic projects through TREAT NMD. KRA has served as a paid consultant to ABPI, AZ, Allergan, Astellas, Amaris, GSK, Janssen, Pfizer, Roche, NICE, Novartis, Congentia, Sanofi, Takeda, NovoNordisk, Abbvie, BMS. KRA is a partner/director of Visible Analytics. KRA has received grants from BHF, HDR UK, MRC and National Institute for Health Research during the course of the study. KRA is a member of the NICE Decision Support Unit (DSU) and the NICE Technical Support Unit (TSU) and has provided strategic and methodological advice to NICE. KRA is a standing member of the NICE Diagnostics Advisory Committee (DAC). KRA is a member of the Health Data Research (HDR) UK/UKRI/SAGE COVID-19 Task Force.

Caremark Compliance for the Next Twenty‐Five Years

One of the most influential cases in corporate governance is In re Caremark International Inc. Derivative Litigation (Caremark). In 1996, Caremark imposed a novel duty on boards of directors to make a good faith attempt to implement and exercise oversight over obligations leading to liability. Breach of this minimal duty has been difficult for plaintiffs to plead and prove, and the case law is littered with dismissed Caremark lawsuits. As Caremark's reign reaches a quarter‐century, however, its duties are primed to evolve. Two cases, Marchand v. Barnhill and In re Clovis Oncology, Inc. Derivative Litigation, took the rare step of allowing Caremark claims to survive motions to dismiss. These cases signal a new understanding of Caremark obligating boards not merely to attempt oversight, but to ensure proactively that such oversight is effective. This subtle but significant change in board duties is one to which the academic literature should respond. This article first reviews the Marchand and Clovis cases and argues that these cases hold significance for the future of Caremark claims. Second, this article studies client advisories from law firms and other sources that evaluate the Clovis and Marchand cases. It finds that while these advisories offer useful tactical responses, they lack strategic advice that would benefit boards over the long term. Filling the gap, this article presents long‐term strategic advice for boards not only to meet Caremark duties but also to thrive as exemplars of good governance and ethical leadership for the next twenty‐five years.

Implementing Experiential Marketing in the Digital Age for a More Sustainable Customer Relationship

We reviewed 58 empirical articles from the last two decades on experiential marketing in the e-commerce context. This literature review seeks to shed light into the fields of experiential and digital marketing, addressing the gaps in experiential aspects that appear during an online shopping session found in the literature. Thus, the paper identifies the elements that create the optimal consumers’ experience together with advantages, challenges, and strategic advice associated with the overall digital experience, an aspect that develops a more sustainable relationship between customers and e-businesses. The findings reveal that the most reported advantage of the overall digital experience is that it provides enhanced satisfaction, an aspect that is crucial for both consumers and online businesses, while some noted that frequent challenges are providing high levels of interactivity and trust. We found several other advantages and challenges of online consumer experience that led to the outlining of the strategic advice for online businesses, all being discussed in detail. The paper addresses a theoretical framework of digital marketing that is relevant for both academics and practitioners, suggestions for future research directions, and key research implications being offered.

OPERA: a New High-Resolution Energy System Model for Sector Integration Research

This article introduces and describes OPERA, a new technology-rich bottom-up energy system optimization model for the Netherlands. We give a detailed specification of OPERA’s underlying methodology and approach, as well as a description of its multiple applications. The model has been used extensively to formulate strategic policy advice on energy decarbonization and climate change mitigation for the Dutch government, and to perform exploratory studies on the role of specific low-carbon energy technologies in the energy transition of the Netherlands. Based on a reference scenario established through extensive consultation with industry and the public sector, OPERA allows for examining the impact of autonomous technology diffusion and energy efficiency improvement processes, and investigating a broad range of policy interventions that target greenhouse gas emission abatement or air pollution reduction, amongst others. Two characteristics that render OPERA particularly useful are the fact that (1) it covers the entire energy system and all greenhouse gas emissions of the Netherlands, and (2) it possesses a high temporal resolution, including a module for flexibly handling individual time units. The simulation of the complete Dutch energy system and the ability to represent energy supply and demand on an hourly basis allow for making balanced judgements on how to best accommodate large amounts of variable renewable energy production. OPERA is therefore particularly suited for analyzing subjects in the field of system integration, which makes it an ideal tool for assessing the implementation of the energy transition and the establishment of a low-carbon economy. We outline several near-term developments as well as opportunities for future improvements and refinements of OPERA. One of OPERA’s attractive features is that its structure can readily be applied to other countries, notably in Europe, and could thus relatively easily be extended to cover the entire European Union

Combining Ecosystem and Single-Species Modeling to Provide Ecosystem-Based Fisheries Management Advice Within Current Management Systems

Although many countries have formally committed to Ecosystem-Based Fisheries Management (EBFM), actual progress toward these goals has been slow. This paper presents two independent case studies that have combined strategic advice from ecosystem modeling with the tactical advice of single-species assessment models to provide practical ecosystem-based management advice. With this approach, stock status, reference points, and initial target F are computed from a single-species model, then an ecosystem model rescales the target F according to ecosystem indicators without crossing pre-calculated single-species precautionary limits. Finally, the single-species model computes the quota advice from the rescaled target F, termed here Feco. Such a methodology incorporates both the detailed population reconstructions of the single-species model and the broader ecosystem perspective from ecosystem-based modeling, and fits into existing management schemes. The advocated method has arisen from independent work on EBFM in two international fisheries management systems: (1) Atlantic menhaden in the United States and (2) the multi species fisheries of the Irish Sea, in the Celtic Seas ecoregion. In the Atlantic menhaden example, the objective was to develop ecological reference points (ERPs) that account for the effect of menhaden harvest on predator populations and the tradeoffs associated with forage fish management. In the Irish Sea, the objective was to account for ecosystem variability when setting quotas for the individual target species. These two exercises were aimed at different management needs, but both arrived at a process of adjusting the target F used within the current single-species management. Although the approach has limitations, it represents a practical step toward EBFM, which can be adapted to a range of ecosystem objectives and applied within current management systems.

Transforming IT small business - the perspective of business advice process

Strategic business advice is perceived as the way to meet challenges related to business development and strategic change, with direct impact on business growth and productivity. Small IT companies face particular pressures resulting from rapid changes in technology and market environment. In many cases they need transformation in order to grow or to cope with evolving competition. They often need to transform their strategic business approaches, including implementation of new products and increasing business models efficiency. The article analyses the process of strategic change of the management model in a small IT company with the participation of a business advisor. The process based consulting model was used to demonstrate how the strategic change is implemented in organization, while the perspective of business owner is used. It is concluded that strategic business advice is a powerful tool when pivot in company’s strategic orientation is necessary, but several conditions has to be met for the change to happen.

How Do Data Bolster Pandemic Preparedness and Response? How Do We Improve Data and Systems to Be Better Prepared?

How are data driving the response for the ongoing COVID-19 pandemic? How do data support preparedness toward epidemics and pandemics? How do data inform the potential severity and spread of an outbreak? Past infectious disease outbreaks have demonstrated several challenges associated with rapid aggregation, integration, and sharing of data to inform a response during an outbreak. The ongoing pandemic response has demonstrated the value of timely data collection and sharing and the usage of data for decision-making.

Security and Defence Sector Reforming in the Context of State Cooperation with NATO

The state of cooperation between Ukraine and NATO and the participation of the Armed Forces of Ukraine in Alliance projects and initiatives are analyzed. It is noted that participation in the Concept of Operational Capabilities allows to participate in exercises and operations under the auspices of NATO, to be involved in operational duty as part of multinational military formations of high readiness; Participation in NATO Air Information Exchange Program contributes to the coordination of the fight against air terrorism. It is determined that the main tasks in the process of reforming the Armed Forces of Ukraine according to NATO standards are their standardization to the NATO Armed Forces and increasing the efficiency of the country’s defence sphere. The implementation of NATO standards involves the development of relevant legislation and regulations, their enactment in the prescribed manner and its application in day-to-day operations. In the process of reforming the security and defence sector, a number of measures have already been taken to reorganize the military administration, but the reform process is ongoing. The «STANAG» standard needs to be tested, which requires a comprehensive review of the entire infrastructure and functioning of the Armed Forces of Ukraine. It is noted that cooperation with NATO in the context of security and defence sector reform is to promote the transformation and development of Ukraine’s security and defence sector. NATO member states continue to provide strategic advice to the Ukrainian side on institutional development reform. Within the framework of cooperation, a special training mechanism was launched with the involvement of foreign instructors in the form of a combat training center for units of the Armed Forces of Ukraine and the National Guard on the basis of the Yavoriv test site. The «Comprehensive Assistance Package for Ukraine» was introduced to increase Ukraine’s capacity in the process of reforming the security and defence sector, which contains 13 areas.

Why do small businesses seek support for managing people? Implications for theory and policy from an analysis of UK small business survey data

This article explores the characteristics of small and medium-sized enterprises (SMEs) that seek external human resource (HR) support and the circumstances in which they do so, drawing on the resource-based view (RBV) of the firm and recent growth theories. Original analysis of UK Longitudinal Small Business Survey data indicates that few SMEs seek HR support and that they are more likely to seek information than strategic advice. Resource deficiencies were not found to be a driver for seeking HR support, rather this was associated with business changes or challenges. Theoretically, we develop a model that identifies dynamic capabilities for HR support, integrated within an RBV framework. This is novel in integrating the concepts of ‘human process advantage’ and ‘human capital advantage’ from the strategic HR literature with dynamic capabilities theory. We draw out the implications of the findings and the model for future research and policy development.

What Do Crowd Equity Investors Do? Exploring Postinvestment Activities in Equity Crowd Funding

Equity crowdfunding has become a viable alternative to the traditional forms of financing technology startups. This survey-based two-study article aims to shed light on the prevalence of crowd equity investors’ postinvestment activities and the antecedents to these engagement activities. Our first study finds that most crowd equity investors engage with the startups in which they invest in some way. While the majority engage in low-involvement activities (e.g., word of mouth), a smaller number of crowd equity investors also engage in high-involvement activities (e.g., strategic advice). Our second study reveals that engagement in these activities is driven by investment-, investor-, and proximity-related factors. In particular, the amount of investment—despite its smallness compared with that in the traditional forms of funding—is a reliable antecedent of crowd equity investors’ engagement in postinvestment activities. Furthermore, age and geographic proximity are positively associated with low-involvement activities, whereas intrinsic motivation and personal proximity are positively linked to high-involvement activities. By providing insights into the prevalence of postinvestment activities in equity crowdfunding and their antecedents, this article contributes to the debate on the potential of equity crowdfunding to complement or even replace the traditional forms of funding technological innovation.