Ignorance Isn't Bliss: Complaint Experience and Organizational Learning in the California Nursing Home Industry, 1997–2004

Organizational learning theory suggests that complaints about products and services can promote organizational learning and change. However, evidence suggests that potentially valuable forms of experience may be ignored or discounted in organizations, and additional research is needed to determine why this happens. This study contributes to those efforts by examining how multiple forms of complaint experience interactively influence organizational outcomes. An empirical test on a longitudinal panel of Californian nursing homes finds that complaints about other issues may distract attention away from complaints about a focal issue, but only when complaints are provided anonymously. These findings forward organizational learning theories by suggesting that multiple types of experience may detract from rather than supplement each other in some cases. Additional implications and opportunities for further research are also discussed.     

Operational Slack and Venture Survival

Slack can act as a double‐edged sword. While it can buffer against environmental threats to help ensure business continuity, slack can also be costly and reduce profitability. In this study we focus on operational slack, the form related to the firm's production processes. We investigate the role of operational slack on firm survival during its venture stage when its survival is significantly challenged by environmental threats. Specifically, we explore how change in three types of environmental uncertainty, namely dynamism, complexity, and lack of munificence, affect the relationship between operational slack and venture survival. Results suggest that with an increase in environmental uncertainty, operational slack lowers the likelihood of venture failure.     

Rule Violations and Organizational Search: A Review and Extension

Whether they are formally prescribed or informally agreed upon, rules delineate the types of behavior deemed acceptable or appropriate within organizations. Studies often find that negative outcomes such as decreased group cohesion and higher turnover result when rules are broken. However, research rarely examines the potential positive effects of rule violations. Rules describe expectations about behavior within routines, or patterns of activity in organizations. When rules are violated by individuals, it could be an indication that the associated patterns of activity are no longer appropriate and that changes to the routines are needed. Organizations may learn from these violations if the violations trigger a search for new ways to organize activities, but this connection between violations and the search for new routines is affected by several factors. Drawing from a review and discussion of rules, routines, and research on organizational search and learning, this paper develops propositions regarding how rule violations motivate the search for new routines. This perspective integrates the literatures on rule‐breaking and organizational search, and also suggests that managers who attend to patterns of rule‐breaking within their organizations may detect drift from their environments and take corrective action earlier than suggested by other organizational learning research.     

An Approximation Algorithm for Alignment of Multiple Sequences using Motif Discovery

Given a set of N sequence, the Multiple Sequence Alignment problem is to align these N sequences, possibly with gaps, that brings out the best commonality of the N sequences. The quality of the alignment is usually measured by penalizing the mis-matches and gaps, and rewarding the matches with appropriate weight functions. However for larger values of N, additional constraints are required to give meaningful alignments. We identify a user-controlled parameter, an alignment number K (2 K N): this additional requirement constrains the alignment to have at least K sequences agree on a character, whenever possible, in the alignment. We identify a natural optimization problem for this approach called the K-MSA problem. We show that the problem is MAX SNP hard. We give a natural extension of this problem that incorporates biological relevance by using motifs (common patterns in the sequences) and give an approximation algorithm for this problem in terms of the motifs in the data. MUSCA is an implementation of this approach and our experimental results indicate that this approach is efficient, particularly on large numbers of long sequences, and gives good alignments when tested on biological data such as DNA and protein sequences.     

Study and analysis of occupational risk factors for ergonomic design of construction worksystems

Manual material handling (MMH) is unavoidable because of the nature of jobs or tasks as and man-machine interfaces in a construction worksystem. Data were collected from six strata of workers viz., masons, mason helpers, carpenters, welders, gas cutters and ground-level helpers (259 out of 700 workers) from a construction site of a steel plant located in India to analyze different types of occupational risk factors, such as awkward posture, repetitive movements and others associated with MMH activities to assess their impact on musculoskeletal disorders (MSDs). It is essential that these risk factors are required to be under control through application of ergonomics-based design approaches for construction worksystem. In this context, multinomial logistic regression analyses were used to identify the significant risk factors among the workers. The results shows that masons, mason helpers, carpenters, welders/gas cutters and ground-level helpers are greatly affected by static body posture, type of tools used, excessive stress due to repetition, awkward postures and extreme climate, respectively. Appropriate preventive and corrective measures are suggested for minimization of risks associated with such jobs/tasks to improve health and performance of the workers.     

The Two Faces of Voluntary Disclosure: Quality Improvement and Organizational Learning from Self‐reported Problems

Research suggests the promise of voluntary self‐reporting, given that organizational quality can be difficult to monitor. However, I explore opposing theoretical arguments regarding its impact. On one hand, self‐reported problems may motivate intensive investigation, resulting in subsequent improvement. However, self‐reports may instead represent relatively superficial impression management efforts, and their value to organizational performance may be more dubious. Associated hypotheses are tested on a longitudinal panel of nursing homes. Findings suggest that self‐reports generally detract from performance except when they are reinforced by other, complementary forms of experience. Contributions to organizational learning theory, institutional theory and regulatory policy are discussed.     

An analytical framework for urban upgrading: property rights, property values and physical attributes

In the mid-1980s, the state government of Maharashtra, India, introduced a slum redevelopment strategy in its capital city, Mumbai (Bombay). In contrast to traditional housing improvement strategies that focus primarily on legalizing the land tenure of residents, slum redevelopment is a more complex strategy. It involves the demolition of existing slums and the redevelopment of new, higher density, medium-rise apartment blocks, including, entirely cross-subsidized housing for the original slum dwellers. Mumbai's experience, documented through a single case study in this paper, illustrates that contrary to the conventional focus only on private property rights, upgrading policy must be based on a differentiated view of property rights. Furthermore, policy must also consider the property values, the physical attributes of the real property (underlying asset), and the interplay among property rights, property values and physical attributes. Second, the paper demonstrates that under certain conditions, there is a constituency among slum dwellers for complex initiatives, like redevelopment. This suggests that planners should be skeptical about popular, simplistic myths regarding low-income housing preferences. However, slum redevelopment's slow pace also implies that planners need to be cautious in their enthusiasm for redevelopment.     

Biomechanical modelling and evaluation of construction jobs for performance improvement

Occupational risk factors, such as awkward posture, repetition, lack of rest, insufficient illumination and heavy workload related to construction-related MMH activities may cause musculoskeletal disorders and poor performance of the workers, ergonomic design of construction worksystems was a critical need for improving their health and safety wherein a dynamic biomechanical models were required to be empirically developed and tested at a construction site of Tata Steel, the largest steel making company of India in private sector. In this study, a comprehensive framework is proposed for biomechanical evaluation of shovelling and grinding under diverse work environments. The benefit of such an analysis lies in its usefulness in setting guidelines for designing such jobs with minimization of risks of musculoskeletal disorders (MSDs) and enhancing correct methods of carrying out the jobs leading to reduced fatigue and physical stress. Data based on direct observations and videography were collected for the shovellers and grinders over a number of workcycles. Compressive forces and moments for a number of segments and joints are computed with respect to joint flexion and extension. The results indicate that moments and compressive forces at L5/S1 link are significant for shovellers while moments at elbow and wrist are significant for grinders.     

Imitate Others? Not if We Have the Chance: Competitive Differentiation in Medical Malpractice Insurers' Pricing Decisions under Uncertainty

Several perspectives assert that organizations facing uncertainty tend to imitate other organizations' actions. While one might therefore expect to see great homogeneity across fields characterized by uncertainty, it is surprising that this homogeneity has not been observed more frequently in practice. Research investigating this puzzle has typically focused on the role played by organizational characteristics or the information organizations possess about their environments. Instead, this study turns attention to the information others possess about the organization. To that end, I disaggregate organizational uncertainty into the uncertainty facing decision makers and the uncertainty faced by others about what those decision makers might ultimately do, providing a more fine grained analysis of uncertainty and its impact on competitive action than typically offered in this literature. I suggest that uncertainty in competitors' evaluations of the organization provides an opportunity for the organization to differentiate itself rather than imitate others. I also suggest that this effect is stronger than the effects of the uncertainty facing the decision makers themselves. Related hypotheses are tested on a panel of medical malpractice insurance providers. The study's perspective generates unique predictions regarding imitation and differentiation in this industry and across other contexts featuring both uncertainty and competition.